Computer Methods In Medicine And Health Care

The last decade has seen great progress in modern healthcare; progress which could not have been achieved without the developments in computer science and technology. Image processing, disease modeling, biosensors and bioprinting are just some of the innovations which have contributed to improving the accuracy and efficiency of diagnosis and the more effective treatment of patients. This book presents the accepted papers from CMMHC2022, the Workshop on Computer Methods in Medicine & Health Care, hosted from Hainan, China and held as an online event from 22 to 25 September 2022. CMMHC is aimed at fostering high-quality research by bringing together scholars, doctors, engineers, and radiologists to discuss emerging ideas, approaches, theories, frameworks, and practices in preventive healthcare technology. The organizers received 40 submissions for the 2022 workshop. These were subjected to a thorough peer-review process, with each paper being reviewed by at least 2 members of the Technical Committee. From the original submissions, 15 were selected for presentation and publication, resulting in a final acceptance rate of less than 40%. The main focus of the papers is hospital informatisation, medical imaging and health management, which continue to be major research hotspots. The book offers an overview of recent research and developments in the field of computer methods in medicine and healthcare, and will provide a useful reference to the direction of future developments for those researchers and practitioners facing the challenges and demands of the era of big data.

Computer technology has brought about incredible changes in medicine and healthcare, greatly improving the efficiency and accuracy of medical treatment. Since December 2019, in the face of the global effects of COVID-19, the significance of computer technology, and big data in particular, together with the collaborative network and unmanned technology, has been recognized by healthcare staff everywhere. Modern medical science cannot evolve without the involvement of computer science. This book presents the proceedings of the 2021 Workshop on Computer Methods in Medicine & Health Care (CMMHC 2021), the autumn edition of the TDI conferences, held as a virtual, online event on 24 – 26 September 2021. Researchers from renowned universities, laboratories and hospitals in China, Italy and Japan contributed to the workshop, and findings from both basic and clinical medicine are included in the 14 papers collected here. Big data technology appeared in 20% of all papers as the most popular topic, with one paper covering big data optimization and two describing its application. The book shares practical experiences and enlightening ideas from computer-based medicine and will be of interest to researchers in and practitioners of modern medicine everywhere.

The practice of modern medicine requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and conduct research. Designed for a broad audience, this book fills the need for a high quality reference in computers and medicine, first explaining basic concepts, then illustrating them with specific systems and technologies. Medical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline. The second edition covers system design and engineering, ethics of health informatics, system evaluation and technology assessment, public health and consumer use of health information, and healthcare financing.

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.

Applied Computing in Medicine and Health is a comprehensive presentation of on-going investigations into current applied computing challenges and advances, with a focus on a particular class of applications, primarily artificial intelligence methods and techniques in medicine and health. Applied computing is the use of practical computer science knowledge to enable use of the latest technology and techniques in a variety of different fields ranging from business to scientific research. One of the most important and relevant areas in applied computing is the use of artificial intelligence (AI) in health and medicine. Artificial intelligence in health and medicine (AIHM) is assuming the challenge of creating and distributing tools that can support medical doctors and specialists in new endeavors. The material included covers a wide variety of interdisciplinary perspectives concerning the theory and practice of applied computing in medicine, human biology, and health care. Particular attention is given to AI-based clinical decision-making, medical knowledge engineering, knowledge-based systems in medical education and research, intelligent medical information systems, intelligent databases, intelligent devices and instruments, medical AI tools, reasoning and metareasoning in medicine, and methodological, philosophical, ethical, and intelligent medical data analysis. Discusses applications of artificial intelligence in medical data analysis and classifications Provides an overview of mobile health and telemedicine with specific examples and case studies Explains how behavioral intervention technologies use smart phones to support a patient centered approach Covers the design and implementation of medical decision support systems in clinical practice using an applied case study approach

As the healthcare industry continues to expand, it must utilize technology to ensure efficiencies are maintained. Healthcare needs to move in a direction where computational methods and algorithms can relieve the routine work of medical doctors, leaving them more time to carry out more important and skilled tasks such as surgery. Computational Methods and Algorithms for Medicine and Optimized Clinical Practice discusses some of the most interesting aspects of theoretical and applied research covering complementary facets of computational methods and algorithms to achieve greater efficiency and support medical personnel. Featuring research on topics such as healthcare reform, artificial intelligence, and disease detection, this book will particularly appeal to medical professionals and practitioners, hospitals, administrators, students, researchers, and academicians.

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.