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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2412.10337 |
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| _version_ | 1866913615156609024 |
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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 |