Digital Health, AI and Generative AI in Healthcare

A Concise, Practical Guide for Clinicians. Edited by Terry Adirim. With the advent of generative AI, including the release of Open AI’s ChatGPT in 2022, the world entered a new age of rapid advancements in technology that will significantly change the way clinicians practice medicine, operate healthcare institutions, and conduct research.  At the heart of this penetrating book is the idea that medical schools, medical training programs and other health education institutions must undertake a key role in developing AI literacy for clinicians across the spectrum of medical education that includes all health professions.  Moreover, assert the authors, AI literacy should be incorporated within medical school curriculums as a core competency, as well as into graduate medical education training programs and continuing medical education courses. This guide offers a wide range of chapters that discuss the core concepts and issues relating to AI in medicine, including a basic understanding of algorithms, machine learning, large language models and natural language processing, the limits and pitfalls of AI, ethical and legal issues, the evolving regulatory landscape around AI, as well as how AI is currently being used in healthcare, to name just several compelling topics. IX,220 Seiten mit 12 Farbabb., gebunden (Springer 2025) leichte Lagerspuren/minor shelfwear

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