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healthgpt [2023/04/29 15:03] nigam |
healthgpt [2023/04/29 15:14] nigam |
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We examined the safety and accuracy of GPT-4 in serving curbside consultation needs of doctors. Read about | We examined the safety and accuracy of GPT-4 in serving curbside consultation needs of doctors. Read about |
[[https://hai.stanford.edu/news/how-well-do-large-language-models-support-clinician-information-needs|Wow Well Do Large Language Models Support Clinician Information Needs?]] | [[https://hai.stanford.edu/news/how-well-do-large-language-models-support-clinician-information-needs|How Well Do Large Language Models Support Clinician Information Needs?]] and check out the arxiv submission at https://arxiv.org/abs/2304.13714. We also evaluated the ability of GPT-4 to generate realistic USMLE Step 2 exam questions by asking licensed physicians to distinguish between AI-generated and human-generated questions and to assess their validity. The results indicate that GPT-4 can create questions that are largely indistinguishable from human-generated ones, with a majority of the questions deemed "valid". Read more at https://doi.org/10.1101/2023.04.25.23288588 |
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| The video below summarizes the work described above as well as lays out the [[https://www.linkedin.com/feed/update/urn:li:activity:7031128969005432832/ | questions we should always ask]] when considering LLMs for clinical use. |
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<iframe width="1094" height="685" src="https://www.youtube.com/embed/l0GBGQqcHM8?start=23" title="#AimiGPT | Large Language Models 101" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> | <iframe width="885" height="500" src="https://www.youtube.com/embed/l0GBGQqcHM8?start=23" title="#AimiGPT | Large Language Models 101" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> |
</html> | </html> |
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