Generative AI in Medicine

Divya Shanmugam, Monica Agrawal, Rajiv Movva, Irene Y. Chen, Marzyeh Ghassemi +2 more
12/13/2024
cs.LGcs.AIcs.CY

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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.

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Cite this paper

@article{shanmugam2024generative,
  title  = {Generative AI in Medicine},
  author = {Divya Shanmugam and Monica Agrawal and Rajiv Movva and Irene Y. Chen and Marzyeh Ghassemi and Maia Jacobs and Emma Pierson},
  year   = {2024},
  eprint = {2412.10337},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.10337v2}
}

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