Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls

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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.

Publisher ‏ : ‎ Springer Nature; 2024th edition (30 March 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 810 pages
ISBN-10 ‏ : ‎ 3031393570
ISBN-13 ‏ : ‎ 978-3031393570
Item Weight ‏ : ‎ 1 kg 150 g
Dimensions ‏ : ‎ 15.6 x 4.22 x 23.39 cm

Reviewer: Daniel Byrne
Rating: 5.0 out of 5 stars
Title:
Review: I purchased the hardcover version of this book (even though it is available by open access) so that I could mark it up and study it. And I am glad I did. This book is packed full of up-to-date wisdom on how AI can be used in healthcare. The authors state: “lack of best practices undermine practice and potential of Biomedical AI/ML”. They then provide a wealth of tips on common pitfalls and how to avoid them with best practices. Forward progress of AI in health care, especially improving patient outcomes, will be accelerated by more people buying, reading, and apply the best practices from this book.

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