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AI-Assisted Patient Education on Myocardial Infarction in the Emergency Department: Accuracy and Reliability Analysis of ChatGPT, Claude, and Gemini

2025-04-16

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<title>Abstract</title> <p>Purpose Acute myocardial infarction (AMI) is a leading global cause of morbidity and mortality. Large language models (LLMs) have emerged as innovative tools for patient education. This study evaluated the performance of three LLMs in delivering accurate, reliable, and readable patient information regarding AMI. Methods In this cross-sectional study (February–March 2025), a clinical c...

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Literature Corpus work
95299485-1968-55dd-ae3b-907d631dd6fd
DOI
10.21203/rs.3.rs-6433953/v1
Open publication

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AI-Assisted Patient Education on Myocardial Infarction in the Emergency Department: Accuracy and Reliability Analysis of ChatGPT, Claude, and GeminiDOI 10.21203/rs.3.rs-6433953/v1
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