Generative AI in Medicine

2024/12/13 by Divya Shanmugam, Shanmugam, Divya, Monica Agrawal +11 · 3 voices
#cs.LG #cs.AI #cs.CY #cs.HC

paper · pdf · doi:10.48550/arxiv.2412.10337

Abstract

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.

Discussions

• 🧪 New pre-print explores generative AI’s in medicine, highlighting applications for clinicians, patients, researchers, and educators. It also addresses challenges like privacy, transparency, and equi [bsky, 20 points, 1 comments]
• This was joint work with all-star team @monicaagrawal.bsky.social, @rajmovva.bsky.social, @irenetrampoline.bsky.social, Marzyeh Ghassemi, @maiajacobs.bsky.social, and @emmapierson.bsky.social :) pape [bsky, 6 points, 0 comments]
• Great review of Generative AI in Medicine: arxiv.org/abs/2412.10337 [bsky, 0 points, 0 comments]

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