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rail [2024/04/30 16:20] nigam [Creation and adoption of foundation models in medicine] |
rail [2024/04/30 16:21] nigam [Creation and adoption of foundation models in medicine] |
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We study whether commercial language models [[https://arxiv.org/abs/2304.13714|support real-world needs]] or can follow [[https://medalign.stanford.edu/|medical instructions]] that clinicians would expect them to follow. We build clinical foundation models such as [[https://www.sciencedirect.com/science/article/pii/S1532046420302653| CLMBR]], [[https://arxiv.org/abs/2301.03150| MOTOR]] and verify their benefits such as [[https://www.nature.com/articles/s41598-023-30820-8| robustness over time]], [[https://pubmed.ncbi.nlm.nih.gov/37639620/| populations]] and [[https://arxiv.org/abs/2311.11483| sites]]. we release de-identified datasets such as [[https://ehrshot.stanford.edu/| EHRSHOT]] for few-shot evaluation of foundation models and multi-modal datasets such as [[https://inspect.stanford.edu/| INSPECT]]. | We study whether commercial language models [[https://arxiv.org/abs/2304.13714|support real-world needs]] or can follow [[https://medalign.stanford.edu/|medical instructions (MedAlign)]] that clinicians would expect them to follow. We build clinical foundation models such as [[https://www.sciencedirect.com/science/article/pii/S1532046420302653| CLMBR]], [[https://arxiv.org/abs/2301.03150| MOTOR]] and verify their benefits such as [[https://www.nature.com/articles/s41598-023-30820-8| robustness over time]], [[https://pubmed.ncbi.nlm.nih.gov/37639620/| populations]] and [[https://arxiv.org/abs/2311.11483| sites]]. we release de-identified datasets such as [[https://ehrshot.stanford.edu/| EHRSHOT]] for few-shot evaluation of foundation models and multi-modal datasets such as [[https://inspect.stanford.edu/| INSPECT]]. |
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