Generative AI in Medicine

Fuente: arXiv
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Bibliographic Details
Main Authors: Shanmugam, Divya, Agrawal, Monica, Movva, Rajiv, Chen, Irene Y., Ghassemi, Marzyeh, Jacobs, Maia, Pierson, Emma
Format: Preprint
Published: 2024
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author Shanmugam, Divya
Agrawal, Monica
Movva, Rajiv
Chen, Irene Y.
Ghassemi, Marzyeh
Jacobs, Maia
Pierson, Emma
author_facet Shanmugam, Divya
Agrawal, Monica
Movva, Rajiv
Chen, Irene Y.
Ghassemi, Marzyeh
Jacobs, Maia
Pierson, Emma
contents The increased capabilities of generative AI have dramatically expanded its possible use cases in medicine. We provide a comprehensive overview of generative AI use cases for clinicians, patients, clinical trial organizers, researchers, and trainees. We then discuss the many challenges -- including maintaining privacy and security, improving transparency and interpretability, upholding equity, and rigorously evaluating models -- which must be overcome to realize this potential, and the open research directions they give rise to.
format Preprint
id arxiv_https___arxiv_org_abs_2412_10337
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Generative AI in Medicine
Shanmugam, Divya
Agrawal, Monica
Movva, Rajiv
Chen, Irene Y.
Ghassemi, Marzyeh
Jacobs, Maia
Pierson, Emma
Machine Learning
Artificial Intelligence
Computers and Society
Human-Computer Interaction
The increased capabilities of generative AI have dramatically expanded its possible use cases in medicine. We provide a comprehensive overview of generative AI use cases for clinicians, patients, clinical trial organizers, researchers, and trainees. We then discuss the many challenges -- including maintaining privacy and security, improving transparency and interpretability, upholding equity, and rigorously evaluating models -- which must be overcome to realize this potential, and the open research directions they give rise to.
title Generative AI in Medicine
topic Machine Learning
Artificial Intelligence
Computers and Society
Human-Computer Interaction
url https://arxiv.org/abs/2412.10337