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- Jiawen Deng, Areeba Zubair, Ye-Jean Park, Eesha Affan, and Qi Kang Zuo.
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Curr Med Res Opin. 2024 Feb 1; 40 (2): 151153151-153.
AbstractLarge language models, like ChatGPT and Bard, have potential clinical applications due to their ability to generate conversational responses and encode medical knowledge. However, their clinical adoption faces challenges including hallucinations, lack of transparency, and lack of consistency. Ethicolegal concerns surrounding patient consent, legal liability, and data privacy further complicate matters. Despite their promise, an optimistic but cautious approach is essential for the safe integration of large language models into clinical settings.
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