TY - BOOK
T1 - Generative artificial intelligence in health and medicine
T2 - Opportunities and responsibilities for transformative innovation
AU - The Learning Health System Series
AU - National Academy of Medicine
AU - Maddox, Thomas
AU - Babski, Dianne
AU - Embi, Peter
AU - Gerhart, Jackie
AU - Goldsack, Jennifer
AU - Parikh, Ravi
AU - Sarich, Troy
AU - Krishnan, Sunita
AU - Elliott, Audrey
N1 - Publisher Copyright:
© 2025 National Academy of Sciences. All rights reserved.
PY - 2025/6/16
Y1 - 2025/6/16
N2 - The integration of large language models (LLMs) and generative artificial intelligence (AI) in health care holds the potential to transform the practice of medicine, the work and experiences of health care providers, and the health and well-being of patients. Generative AI can support clinical decision making and streamline workflows, promote patients and their support networks' engagement in care processes, and support clinical research. However, successful and ethical implementation of generative AI requires careful consideration of the associated risks, particularly those concerning data privacy, bias, transparency, and infrastructure limitations. Generative Artificial Intelligence in Health and Medicine: Opportunities and Responsibilities for Transformative Innovation explores the transformative potential of generative AI in health care, with a focus on its applications in clinical decision making, administrative efficiency, and patient engagement.
AB - The integration of large language models (LLMs) and generative artificial intelligence (AI) in health care holds the potential to transform the practice of medicine, the work and experiences of health care providers, and the health and well-being of patients. Generative AI can support clinical decision making and streamline workflows, promote patients and their support networks' engagement in care processes, and support clinical research. However, successful and ethical implementation of generative AI requires careful consideration of the associated risks, particularly those concerning data privacy, bias, transparency, and infrastructure limitations. Generative Artificial Intelligence in Health and Medicine: Opportunities and Responsibilities for Transformative Innovation explores the transformative potential of generative AI in health care, with a focus on its applications in clinical decision making, administrative efficiency, and patient engagement.
UR - https://www.scopus.com/pages/publications/105010290300
U2 - 10.17226/28907
DO - 10.17226/28907
M3 - Book
AN - SCOPUS:105010290300
SN - 9780309733694
BT - Generative artificial intelligence in health and medicine
PB - National Academies Press
ER -