Exploring the Potential of Large Language Models in Neurology, Using Neurologic Localization as an Example
Author:
Affiliation:
1. Department of Neurology (C-CC), Mayo Clinic, Rochester, MN; and Stanford Center for Biomedical Informatics Research (JAF), Stanford University, Palo Alto, CA.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Link
https://www.neurology.org/doi/pdfdirect/10.1212/CPJ.0000000000200311
Reference9 articles.
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3. Clinfo.ai: an open-source retrieval-augmented large language model system for answering medical questions using scientific literature;Lozano A;Pac Symp Biocomput Pac Symp Biocomput,2024
4. Chiang CC Luo M Dumkrieger G et al. A large language model-based generative natural language processing framework finetuned on clinical notes accurately extracts headache frequency from electronic health records. medRxiv [Preprint]. 2023 Oct 3:2023.10.02.23296403. doi:10.1101/2023.10.02.23296403
5. Assessing the potential of USMLE-like exam questions generated by GPT-4;Fleming SL;medRxiv,2023
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