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Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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ChatGPT and Other Large Language Models Are Double-edged Swords
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pROC: an open-source package for R and S+ to analyze and compare ROC curves
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Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations. Comment on “How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment”
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Radiology Report Annotation Using Generative Large Language Models: Comparative Analysis
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inferred← citeshttps://doi.org/10.1177/23821205251409530openalex-snapshot
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inferred← citeshttps://doi.org/10.3928/01484834-20250519-02openalex-snapshot
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