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Generative Artificial Intelligence in Health and Medicine : Opportunities and Responsibilities for Transformative Innovation.

National Academies Press Available online

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Format:
Book
Author/Creator:
Elliott, Audrey.
Contributor:
Krishnan, Sunita.
Sarich, Troy.
Parikh, Ravi.
Goldsack, Jennifer.
Gerhart, Jackie.
Embi, Peter.
Babski, Dianne.
Maddox, Thomas.
Language:
English
Subjects (All):
Medical informatics.
Robotics in medicine.
Physical Description:
1 online resource (71 pages)
Edition:
1st ed.
Place of Publication:
Washington, D.C. : National Academies Press, 2026.
Summary:
This publication explores the opportunities and challenges of integrating generative artificial intelligence (AI) into health and medicine. Authored by experts from diverse fields, it provides a comprehensive analysis of the potential applications of generative AI in healthcare, including early evidence of its benefits, associated risks, and strategies for implementation. It emphasizes cross-sector collaboration, readiness for application, and ethical considerations in AI deployment. The book is aimed at policymakers, healthcare professionals, researchers, and technologists, offering insights into the rapidly evolving domain of AI in health and medicine. Generated by AI.
Contents:
Intro
FrontMatter
Contents
Figures and Tables
Preface
Acronyms and Abbreviations
1 Introduction
2 Opportunities and Early Evidence for Generative Artificial Intelligence in Health and Medicine
3 Risks of Generative Artificial Intelligence in Health and Medicine
4 Application Readiness Cadence
5 The Path Forward
References
Author Information
Appendix: Rapid Field Development and Progress.
Notes:
Description based on publisher supplied metadata and other sources.
Part of the metadata in this record was created by AI, based on the text of the resource.
ISBN:
0-309-73372-3
0-309-73370-7
OCLC:
1520917292

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