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Performance Evaluation of Large Language Model Managing Clinical Trial-Related Adverse Events

2026-06-01

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<title>Abstract</title> <p>Background Artificial intelligence (AI)-based chatbots have emerged as significant sources of medical and general information. However, their accuracy and completeness in addressing clinical trial-related adverse events (ctrAEs) remain understudied. Methods This study evaluates the performance of three large language models (GPT-4o, Gemini 1.5 pro and DeepSeek-R1) in responding to 62...

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Literature Corpus work
de5d94ea-0ba1-5ea5-aafa-c9efa13aac42
DOI
10.21203/rs.3.rs-8972183/v1
Open publication

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Performance Evaluation of Large Language Model Managing Clinical Trial-Related Adverse EventsDOI 10.21203/rs.3.rs-8972183/v1
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