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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences by
This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks. Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfallsis a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic.
ISBN: 9783031393549Publication Date: 2024-03-05
Machine Learning and Artificial Intelligence in Healthcare Systems by
This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior (known as sentiment analysis for healthcare-related purposes) round out the diverse array of topics this reference book covers. Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.
ISBN: 9781000830903Publication Date: 2022-02-22
Artificial Intelligence and Machine Learning in Healthcare by ISBN: 9789811608117Publication Date: 2021
Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice by ISBN: 9781260452730Publication Date: 2021-07-01
Artificial Intelligence in Medicine Applications, Limitations and Future Directions by ISBN: 9789811912238Publication Date: 2022
Research handbook on intellectual property and artificial intelligence by ISBN: 9781800881907Publication Date: 2022
- Artificial Intelligence in MedicineArtificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, human biology, and health care.
- Intelligence-Based MedicineIntelligence-Based Medicine is a new open access journal that aims to create meaningful synergy between practicing clinicians and others in deploying methods of artificial intelligence and human cognition in the practice of medicine and the delivery of healthcare.
- BMJ Health & Care InformaticsBMJ Health & Care Informatics is an open access, peer reviewed journal covering all aspects of informatics in healthcare that supports improvements in direct health and care service provision, incorporates public health strategies and interventions, and implements learning health systems and national policy issues.
- Frontiers in Digital HealthFrontiers in digital health publishes articles about Health Informatics, Personalized Medicine, Connected Health and Health technology innovation, robotics in medicine, digitisation and connection of medical data collected, Artificial Intelligence, Deep Learning, Big Data analysis, personalised medicine, health technology, fast-paced changes, urgent ethical questions, prediction and prevention, translation of health technologies and inventions to innovations that can be used in health systems, approaches and scientific developments that enable and accelerate the adoption and diffusion of health technology innovations in health systems to improve health outcomes, design principles, technology enabled care pathways, risk stratification, regulatory interventions, health technology assessment, demand side interventions, and behavioural interventions at individual and population level.
BU School of Public Health - April 24, 2024
Artificial Intelligence and Health: Promise and Pitfalls
The articles below are from a PubMed feed showing the most recent articles published about Artificial Intelligence in the health sciences. Click where it says "Website" at the bottom of the page to see the full set of results from PubMed.
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