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| computer science medical field: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| computer science medical field: Computational Technology for Effective Health Care National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Engaging the Computer Science Research Community in Health Care Informatics, 2009-02-24 Despite a strong commitment to delivering quality health care, persistent problems involving medical errors and ineffective treatment continue to plague the industry. Many of these problems are the consequence of poor information and technology (IT) capabilities, and most importantly, the lack cognitive IT support. Clinicians spend a great deal of time sifting through large amounts of raw data, when, ideally, IT systems would place raw data into context with current medical knowledge to provide clinicians with computer models that depict the health status of the patient. Computational Technology for Effective Health Care advocates re-balancing the portfolio of investments in health care IT to place a greater emphasis on providing cognitive support for health care providers, patients, and family caregivers; observing proven principles for success in designing and implementing IT; and accelerating research related to health care in the computer and social sciences and in health/biomedical informatics. Health care professionals, patient safety advocates, as well as IT specialists and engineers, will find this book a useful tool in preparation for crossing the health care IT chasm. |
| computer science medical field: Mapping and Sequencing the Human Genome National Research Council, Division on Earth and Life Studies, Commission on Life Sciences, Committee on Mapping and Sequencing the Human Genome, 1988-01-01 There is growing enthusiasm in the scientific community about the prospect of mapping and sequencing the human genome, a monumental project that will have far-reaching consequences for medicine, biology, technology, and other fields. But how will such an effort be organized and funded? How will we develop the new technologies that are needed? What new legal, social, and ethical questions will be raised? Mapping and Sequencing the Human Genome is a blueprint for this proposed project. The authors offer a highly readable explanation of the technical aspects of genetic mapping and sequencing, and they recommend specific interim and long-range research goals, organizational strategies, and funding levels. They also outline some of the legal and social questions that might arise and urge their early consideration by policymakers. |
| computer science medical field: Artificial Intelligence in Healthcare Adam Bohr, Kaveh Memarzadeh, 2020-06-21 Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data |
| computer science medical field: Using Computer Science in Health Care Careers Don Rauf, 2018-12-15 Smartphone apps can monitor your health. Three-D printing can make a prosthetic hand. Robotic exoskeletons allow paraplegics to stand and walk independently. Technology is transforming the world of healthcare. For those interested in pursuing a career in this field, coding and programming skills can open the doors to cutting-edge and high-paying opportunities. This book not only gives an overview of healthcare jobs that depend on computer science skills, but also provides information on the education and training needed to secure work that is challenging, innovative, and helping people lead better lives. |
| computer science medical field: Artificial Intelligence in Medicine David Riaño, Szymon Wilk, Annette ten Teije, 2019-06-19 This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning. |
| computer science medical field: Biomedical Informatics Edward H. Shortliffe, James J. Cimino, 2013-12-02 The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies. |
| computer science medical field: Computer Vision In Medical Imaging Chi Hau Chen, 2013-11-18 The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs. |
| computer science medical field: Using Computer Science in High-Tech Health and Wellness Careers Aaron Benedict, David Gallaher, 2017-07-15 Technology and coding are the tools of the future, and this is extremely apparent in the fields of health and wellness. Whether people are finding new ways to save lives or simply giving others new ways to track and manage their own fitness and health goals, technology is playing a huge part in innovations in the health and wellness sector. This comprehensive guide gives readers the tools to make those connections between health and technology and build them into a sustainable, valuable, life-affirming career path. |
| computer science medical field: Handbook of Medical Informatics , 2002-07-01 The purpose of the Handbook is to provide systematic overview of medical and health informatics for health care professionals and for students in medicine and health care, who will be the clinical professionals of the next millennium. Health care professionals will use computers to support patient care, assess the quality of care, and enhance decision making, management, planning, and medical research. Computer-based patient records and electronic communications will be the most visible developments in the years ahead. The Handbook has been written by a host of renowned international authorities in medical and health informatics. The editors took much care that the Handbook would not be merely a collection of separate chapters, but rather would offer a consistent and structured overview. |
| computer science medical field: Data Science for Healthcare Sergio Consoli, Diego Reforgiato Recupero, Milan Petković, 2019-02-23 This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book. |
| computer science medical field: Biomedical Informatics Edward H. Shortliffe, James J. Cimino, 2006-12-02 This book focuses on the role of computers in the provision of medical services. It provides both a conceptual framework and a practical approach for the implementation and management of IT used to improve the delivery of health care. Inspired by a Stanford University training program, it fills the need for a high quality text in computers and medicine. It meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Completely revised and expanded, this work includes several new chapters filled with brand new material. |
| computer science medical field: Introduction to Medical Software Xenophon Papademetris, Ayesha N. Quraishi, Gregory P. Licholai, 2022-05-05 A concise and accessible overview of the design, implementation and management of medical software. |
| computer science medical field: Machine Learning for Health Informatics Andreas Holzinger, 2016-12-09 Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field. |
| computer science medical field: Women in Computer Science Careers Jetty Kahn, 1999-08 Describes the careers of five women working in the computer science field including Maria Gini, Jessica Hodgins, Fern Hunt, Bonnie Labosky, and Misha Mahowald. |
| computer science medical field: The Computer-Based Patient Record Committee on Improving the Patient Record, Institute of Medicine, 1997-10-28 Most industries have plunged into data automation, but health care organizations have lagged in moving patients' medical records from paper to computers. In its first edition, this book presented a blueprint for introducing the computer-based patient record (CPR). The revised edition adds new information to the original book. One section describes recent developments, including the creation of a computer-based patient record institute. An international chapter highlights what is new in this still-emerging technology. An expert committee explores the potential of machine-readable CPRs to improve diagnostic and care decisions, provide a database for policymaking, and much more, addressing these key questions: Who uses patient records? What technology is available and what further research is necessary to meet users' needs? What should government, medical organizations, and others do to make the transition to CPRs? The volume also explores such issues as privacy and confidentiality, costs, the need for training, legal barriers to CPRs, and other key topics. |
| computer science medical field: Introduction to Computers for Healthcare Professionals Irene Makar Joos, Marjorie J. Smith, Ramona Nelson, 2010-10-25 Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition. An introductory computer literacy text for nurses and other healthcare students, Introduction to Computers for Healthcare Professionals explains hardware, popular software programs, operating systems, and computer assisted communication. The Fifth Edition of this best-selling text has been revised and now includes content on on online storage, communication and online learning including info on PDA's, iPhones, IM, and other media formats, and another chapter on distance learning including video conferencing and streaming video. |
| computer science medical field: A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments Juri Yanase, Evangelos Triantaphyllou, Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort expended in the interface of medicine and computer science. As some CAD systems in medicine try to emulate the diagnostic decision-making process of medical experts, they can be considered as expert systems in medicine. |
| computer science medical field: Computing the Future National Research Council, Computer Science and Telecommunications Board, Committee to Assess the Scope and Direction of Computer Science and Technology, 1992-02-01 Computers are increasingly the enabling devices of the information revolution, and computing is becoming ubiquitous in every corner of society, from manufacturing to telecommunications to pharmaceuticals to entertainment. Even more importantly, the face of computing is changing rapidly, as even traditional rivals such as IBM and Apple Computer begin to cooperate and new modes of computing are developed. Computing the Future presents a timely assessment of academic computer science and engineering (CS&E), examining what should be done to ensure continuing progress in making discoveries that will carry computing into the twenty-first century. Most importantly, it advocates a broader research and educational agenda that builds on the field's impressive accomplishments. The volume outlines a framework of priorities for CS&E, along with detailed recommendations for education, funding, and leadership. A core research agenda is outlined for these areas: processors and multiple-processor systems, data communications and networking, software engineering, information storage and retrieval, reliability, and user interfaces. This highly readable volume examines: Computer science and engineering as a discipline-how computer scientists and engineers are pushing back the frontiers of their field. How CS&E must change to meet the challenges of the future. The influence of strategic investment by federal agencies in CS&E research. Recent structural changes that affect the interaction of academic CS&E and the business environment. Specific examples of interdisciplinary and applications research in four areas: earth sciences and the environment, computational biology, commercial computing, and the long-term goal of a national electronic library. The volume provides a detailed look at undergraduate CS&E education, highlighting the limitations of four-year programs, and discusses the emerging importance of a master's degree in CS&E and the prospects for broadening the scope of the Ph.D. It also includes a brief look at continuing education. |
| computer science medical field: Biocomputing Panos M. Pardalos, J.C. Principe, 2013-12-01 In the quest to understand and model the healthy or sick human body, re searchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is pushing the envelope of a new field we call Biomedical Computing, as an exciting frontier among signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine. A conference on Biocomputing was held during February 25-27, 2001 at the University of Florida. The conference was sponsored by the Center for Applied Optimization, the Computational Neuroengineering Center, the Biomedical En gineering Program (through a Whitaker Foundation grant), the Brain Institute, the School of Engineering, and the University of Florida Research & Graduate Programs. The conference provided a forum for researchers to discuss and present new directions in Biocomputing. The well-attended three days event was highlighted by the presence of top researchers in the field who presented their work in Biocomputing. This volume contains a selective collection of ref ereed papers based on talks presented at this conference. You will find seminal contributions in genomics, global optimization, computational neuroscience, FMRI, brain dynamics, epileptic seizure prediction and cancer diagnostics. We would like to take the opportunity to thank the sponsors, the authors of the papers, the anonymous referees, and Kluwer Academic Publishers for making the conference successful and the publication of this volume possible. Panos M. Pardalos and Jose C. |
| computer science medical field: Science & Engineering Indicators , 2000 |
| computer science medical field: All of Programming Andrew Hilton, Anne Bracy, 2019-07-02 All of Programming provides a platform for instructors to design courses which properly place their focus on the core fundamentals of programming, or to let a motivated student learn these skills independently. A student who masters the material in this book will not just be a competent C programmer, but also a competent programmer. We teach students how to solve programming problems with a 7-step approach centered on thinking about how to develop an algorithm. We also teach students to deeply understand how the code works by teaching students how to execute the code by hand. This is Edition 1 (the second edition, as C programmers count from 0). It fixes a variety of formatting issues that arose from epub conversion, most notably practice exercises are now available in flowing text mode. |
| computer science medical field: Applied Biomedical Engineering Gaetano Gargiulo, Alistair McEwan, 2011-08-23 This book presents a collection of recent and extended academic works in selected topics of biomedical technology, biomedical instrumentations, biomedical signal processing and bio-imaging. This wide range of topics provide a valuable update to researchers in the multidisciplinary area of biomedical engineering and an interesting introduction for engineers new to the area. The techniques covered include modelling, experimentation and discussion with the application areas ranging from bio-sensors development to neurophysiology, telemedicine and biomedical signal classification. |
| computer science medical field: Data Science and Medical Informatics in Healthcare Technologies Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu, 2021-06-19 This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others. |
| computer science medical field: Handbook of Research on Emerging Trends and Applications of Machine Learning Solanki, Arun, Kumar, Sandeep, Nayyar, Anand, 2019-12-13 As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning. |
| computer science medical field: Interact with Information Technology 3 new edition Roland Birbal, Michele Taylor, 2020-03-02 Provide an accessible approach to theory and practice with this new edition updated to comprehensively cover recent IT developments and the latest Caribbean curricula for Forms 1 to 3 (Grades 7 to 9). - Consolidate learning through a range of question types such as Multiple Choice, True or False, Short Answer and a fun Crossword puzzle. - Build critical thinking and project work skills with research and STEM projects using real life situations. - Develop understanding with new topics covered such as computer ethics, algorithm development, emerging careers. The answers can be found here: www.hoddereducation.co.uk/interactanswers |
| computer science medical field: Advances in Intelligent Control Systems and Computer Science Loan Dumitrache, 2012-08-22 The conception of real-time control networks taking into account, as an integrating approach, both the specific aspects of information and knowledge processing and the dynamic and energetic particularities of physical processes and of communication networks is representing one of the newest scientific and technological challenges. The new paradigm of Cyber-Physical Systems (CPS) reflects this tendency and will certainly change the evolution of the technology, with major social and economic impact. This book presents significant results in the field of process control and advanced information and knowledge processing, with applications in the fields of robotics, biotechnology, environment, energy, transportation, et al.. It introduces intelligent control concepts and strategies as well as real-time implementation aspects for complex control approaches. One of the sections is dedicated to the complex problem of designing software systems for distributed information processing networks. Problems as complexity and specific instruments for modeling and control are also presented in a group of papers which identifies a large opening towards the new generation of CPS. The book is structured so as to ensure a good equilibrium between conceptual and applicative aspects. |
| computer science medical field: The Doctor and Mr. Dylan Rick Novak, 2017-10-06 This is the second edition of the 2014 bestselling medical-legal novel. Dr. Nico Antone, an anesthesiologist at Stanford University, is married to Alexandra, a high-powered real estate agent obsessed with money. Their son, Johnny, an 11th-grader with immense potential, struggles to get the grades he'll need to attend an Ivy League college. After a screaming match with Alexandra, Nico moves himself and Johnny from Palo Alto, California, to his frozen childhood home of Hibbing, Minnesota. The move helps Johnny improve his grades and thus seem more attractive to universities, but Nico loves the freedom from his wife. Hibbing also happens to be the hometown of music icon Bob Dylan. Joining the hospital staff, Nico runs afoul of a psychotic nurse anesthetist who calls himself Bobby Dylan, who plays Dylan songs twice a week in a bar called Heaven's Door, and who believes he is the real Bob Dylan. As Nico and Johnny settle in at Hibbing, their lives turn around, until the soulless Alexandra dies, which accelerates the downfall of Dr. Antone, who is accused of her murder. The medical realism and subsequent courtroom realism and big university atmosphere versus small Minnesota town make this novel ring true. The author's medical expertise is central to the plot, and the author's career as a medical expert witness brings sizzling energy to the concluding courtroom scenes. |
| computer science medical field: Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics Sunil Kumar Dhal, Subhendu Kumar Pani, Srinivas Prasad, Sudhir Kumar Mohapatra, 2022-05-20 BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning. |
| computer science medical field: Concepts of Computer Science Sanjeev Thakur, Computer Science is the basic need of every organization to find out where it stands. it is a very important subject of students and every person involved in it has prescribed set of tasks. A major goal of this book “Concepts of Computer Science” is not just to explain fundamental theories and concept of computer science discipline, but to help students apply those theories and concepts to their IT lives and work lives. This book is a modest attempt to give exposure of concepts of computer science. This book has been written for the students of Class 1 to Graduation. All the new features included and extensive revision done, we feverishly hope that the book would appeal to the students , the teachers and all the interested reader. All the suggestions and feedbacks are welcomed to further improve the quality of the content to achieve the objective of presenting this book. |
| computer science medical field: Introduction to Healthcare Information Technology Mark D. Ciampa, 2012-03 The healthcare industry is growing at a rapid pace and undergoing some of its most significant changes as the use of electronic health records increase. Designed for technologists or medical practitioners seeking to gain entry into the field of healthcare information systems, INTRODUCTION TO HEALHCARE INFORMATION TECHNOLOGY teaches the fundamentals of healthcare IT (HIT) by using the CompTIA Healthcare IT Technician (HIT-001) exam objectives as the framework. It takes an in-depth and comprehensive view of HIT by examining healthcare regulatory requirements, the functions of a healthcare organization and its medical business operations in addition to IT hardware, software, networking, and security. INTRODUCTION TO HEALHCARE INFORMATION TECHNOLOGY is a valuable resource for those who want to learn about HIT and who desire to enter this growing field by providing the foundation that will help prepare for the CompTIA HIT certificate exam. |
| computer science medical field: Advances in Computer Science and Information Technology. Computer Science and Engineering Natarajan Meghanathan, Nabendu Chaki, Dhinaharan Nagamalai, 2012-04-24 The three volume set LNICST 84 - LNICST 86 constitute the refereed proceedings ofthe Second International Conference on Computer Science and InformationTechnology, CCSIT 2012, held in Bangalore, India, in January 2012. The 70 revised full papers presented in this volume were carefullyreviewed and selected from numerous submissions and address all major fields ofthe Computer Science and Information Technology in theoretical, methodological,and practical or applicative aspects. The papers feature cutting-edge developmentand current research in computer science and engineering. |
| computer science medical field: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| computer science medical field: Healthcare and the Effect of Technology: Developments, Challenges and Advancements Kabene, Stfane M., 2010-03-31 This book examines current developments and challenges in the incorporation of ICT in the health system from the vantage point of patients, providers, and researchers. The authors take an objective, realistic view of the shift that will result for patients, providers, and the healthcare industry in general from the increased use of eHealth services--Provided by publisher. |
| computer science medical field: Computer-Assisted Medical Decision Making J.A. Reggia, S. Tuhrim, 2012-12-06 Computer technology has impacted the practice of medicine in dramatic ways. Imaging techniques provide noninvasive tools which alter the diag nostic process. Sophisticated monitoring equipment presents new levels of detail for both patient management and research. In most of these high technology applications, the computer is embedded in the device; its presence is transparent to the user. There is also a growing number of applications in which the health care provider directly interacts with a computer. In many cases, these appli cations are limited to administrative functions, e.g., office practice man agement, location of hospital patients, appointments, and scheduling. Nevertheless, there also are instances of patient care functions such as results reporting, decision support, surveillance, and reminders. This series, Computers and Medicine, will focus upon the direct use of information systems as it relates to the medical community. After twenty-five years of experimentation and experience, there are many tested applications which can be implemented economically using the current generation of computers. Moreover, the falling cost of computers suggests that there will be even more extensive use in the near future. Yet there is a gap between current practice and the state-of-the-art. |
| computer science medical field: Advanced Informatics for Computing Research Ashish Kumar Luhach, Dharm Singh Jat, Kamarul Bin Ghazali Hawari, Xiao-Zhi Gao, Pawan Lingras, 2019-09-16 This two-volume set (CCIS 1075 and CCIS 1076) constitutes the refereed proceedings of the Third International Conference on Advanced Informatics for Computing Research, ICAICR 2019, held in Shimla, India, in June 2019. The 78 revised full papers presented were carefully reviewed and selected from 382 submissions. The papers are organized in topical sections on computing methodologies; hardware; information systems; networks; software and its engineering. |
| computer science medical field: Intelligence-Based Medicine Anthony C. Chang, 2020-06-27 Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced. The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies. The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology. - Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything - Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists - Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future - Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare |
| computer science medical field: Human Cancer Diagnosis and Detection Using Exascale Computing Kapil Joshi, Somil Kumar Gupta, 2024-02-21 Human Cancer Diagnosis and Detection Using Exascale Computing The book provides an in-depth exploration of how high-performance computing, particularly exascale computing, can be used to revolutionize cancer diagnosis and detection; it also serves as a bridge between the worlds of computational science and clinical oncology. Exascale computing has the potential to increase our ability in terms of computation to develop efficient methods for a better healthcare system. This technology promises to revolutionize cancer diagnosis and detection, ushering in an era of unprecedented precision, speed, and efficiency. The fusion of exascale computing with the field of oncology has the potential to redefine the boundaries of what is possible in the fight against cancer. The book is a comprehensive exploration of this transformative unification of science, medicine, and technology. It delves deeply into the realm of exascale computing and its profound implications for cancer research and patient care. The 18 chapters are authored by experts from diverse fields who have dedicated their careers to pushing the boundaries of what is achievable in the realm of cancer diagnosis and detection. The chapters cover a wide range of topics, from the fundamentals of exascale computing and its application to cancer genomics to the development of advanced imaging techniques and machine learning algorithms. Explored is the integration of data analytics, artificial intelligence, and high-performance computing to move cancer research to the next phase and support the creation of novel medical tools and technology for the detection and diagnosis of cancer. Audience This book has a wide audience from both computer sciences (information technology, computer vision, artificial intelligence, software engineering, applied mathematics) and the medical field (biomedical engineering, bioinformatics, oncology). Researchers, practitioners and students will find this groundbreaking book novel and very useful. |
| computer science medical field: Biomedical Research and Computer Application in Manned Space Flight United States. National Aeronautics and Space Administration. Technology Utilization Office, 1971 |
| computer science medical field: Encyclopedia of Information Science and Technology, Third Edition Khosrow-Pour, Mehdi, 2014-07-31 This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology--Provided by publisher. |
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Here are just a few interesting areas where Computer Science is important in Medicine, both in research and in clinical settings. • Bioinformatics • Reliable medical software • Machine …
Computer and Internet use among Undergraduate Medical …
All the fields of med-ical and allied sciences require adequate computer skills. In order to improve quality of health care, information process-ing and information technology is essential in this …
Medical Informatics: An Introduction to Computer Technology …
Medical informatics has been defined as the basic science of computers in medicine, dealing with the exchange of information through computer-based sys- tems [4]. It arose from the need for …
History of Computing in Medicine - Princeton University
• 1983 – Shortliffe “medical informatics covers more than just applications of computers to medicine” • 1986 – Macintosh developed – AAMC “medical informatics combines medical …
20 The Future of Computer Applications in Health Care
• What are possible future directions for medical informatics? • What are the forces that are driving these changes? In this book, we have summarized the current state of medical informatics in a …
AI in Medical Field - IJSR
Medical AI stands for “Medical Artificial Intelligence”. It uses computer techniques to clinical diagnoses and suggest treatments. AI has the capability to detecting the relationships in a …
Human–computer interaction in healthcare: Comprehensive …
HCI is an interdisciplinary field that examines the dynamics involved in the interaction between humans and computers and how to enhance such user experiences. The application of …
Software Engineering in Medical Informatics: A Systematic
Medical informatics is located at the intersection of information technologies, computer science, social science, and health care practices [3]. Medical informatics help to ensure health for …
Computer Vision and AI-Integrated IoT Technologies in the …
Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem targets a mixed audience of students, engineers, researchers, academics, and pro-fessionals who are …
Computers in Medical Education - Princeton University
Roles of computers in medical education • Provide facts and information • Teach strategies for applying knowledge appropriately in medical situations • Encourage the development of lifelong …
Chapter 4 COMPUTER APPLICATIONS IN MEDICAL …
These four types are: 1) computer-supported independent study in the basic medical sciences, 2) the use of computerized simulations in training and testing for clinical competence, 3) computer …
Computer Science: The Third Pillar of Medical Education
We propose one way to combat such quality problems by incorporating a medicine-spe- cific computer science (CS) curriculum as the third of Abraham Flexner’s pillars of medical …
What do medical students actually need to know about
With emerging innovations in artificial intelligence (AI) poised to substantially impact medical practice, interest in training current and future physicians about the technology is growing....
The Future of Computer Applications in Biomedicine - Springer
In this book, we have summarized the current state of biomedical informatics in a vari- ety of application areas and have reflected on the development of the field during the past 50 years.
Teaching Computer Programming to Medical - Juniper …
practice. The upcoming field of (clinical) data science combines content expertise with statistical/mathematical skills and computer science to generate new insights from (huge …
APPLICATIONS OF COMPUTER TECHNOLOGY IN THE FIELD …
In this research paper, we aim to explore the multifaceted applications of computer science in medicine, highlighting the latest advancements, challenges, and opportunities in the field.
Nowadays and future computer application in medicine
In our opinion the role of computer methods in medicine is changing as quick as computer science itself and there is a need for this type of review. Moreover we will describe our contribution to …
Medical Informatics: Computer Applications in Health Care …
In this chapter, we examine the definition and use of computer-based patient-record systems, discuss their potential benefits and costs, and describe the remaining challenges to address in …
Artificial Intelligence and Machine Learning in Medical Devices
May 9, 2022 · Regulatory science research efforts to develop these methods to evaluate AI/ML-enabled medical software.
Biomedical Informatics: Computer Applications in Health Care …
Biomedical informatics is the scientific field that deals with the storage, retrieval, sharing, and optimal use of biomedical information, data, and knowledge for problem solving and decision …
A Computer Science Degree and Medical School - McGill …
Here are just a few interesting areas where Computer Science is important in Medicine, both in research and in clinical settings. • Bioinformatics • Reliable medical software • Machine …
Computer and Internet use among Undergraduate Medical …
All the fields of med-ical and allied sciences require adequate computer skills. In order to improve quality of health care, information process-ing and information technology is essential in this …
Medical Informatics: An Introduction to Computer …
Medical informatics has been defined as the basic science of computers in medicine, dealing with the exchange of information through computer-based sys- tems [4]. It arose from the need for …
History of Computing in Medicine - Princeton University
• 1983 – Shortliffe “medical informatics covers more than just applications of computers to medicine” • 1986 – Macintosh developed – AAMC “medical informatics combines medical …
20 The Future of Computer Applications in Health Care
• What are possible future directions for medical informatics? • What are the forces that are driving these changes? In this book, we have summarized the current state of medical informatics in a …
AI in Medical Field - IJSR
Medical AI stands for “Medical Artificial Intelligence”. It uses computer techniques to clinical diagnoses and suggest treatments. AI has the capability to detecting the relationships in a …
Human–computer interaction in healthcare: Comprehensive …
HCI is an interdisciplinary field that examines the dynamics involved in the interaction between humans and computers and how to enhance such user experiences. The application of …
Software Engineering in Medical Informatics: A Systematic
Medical informatics is located at the intersection of information technologies, computer science, social science, and health care practices [3]. Medical informatics help to ensure health for …
Computer Vision and AI-Integrated IoT Technologies in the …
Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem targets a mixed audience of students, engineers, researchers, academics, and pro-fessionals who are …
Computers in Medical Education - Princeton University
Roles of computers in medical education • Provide facts and information • Teach strategies for applying knowledge appropriately in medical situations • Encourage the development of …
Chapter 4 COMPUTER APPLICATIONS IN MEDICAL …
These four types are: 1) computer-supported independent study in the basic medical sciences, 2) the use of computerized simulations in training and testing for clinical competence, 3) …
Computer Science: The Third Pillar of Medical Education
We propose one way to combat such quality problems by incorporating a medicine-spe- cific computer science (CS) curriculum as the third of Abraham Flexner’s pillars of medical …
What do medical students actually need to know about
With emerging innovations in artificial intelligence (AI) poised to substantially impact medical practice, interest in training current and future physicians about the technology is growing....
The Future of Computer Applications in Biomedicine - Springer
In this book, we have summarized the current state of biomedical informatics in a vari- ety of application areas and have reflected on the development of the field during the past 50 years.
Teaching Computer Programming to Medical - Juniper …
practice. The upcoming field of (clinical) data science combines content expertise with statistical/mathematical skills and computer science to generate new insights from (huge …
