Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study

Lab results are often confusing and hard to understand. Large language models (LLMs) such as ChatGPT have opened a promising avenue for patients to get their questions answered. We aim to assess the feasibility of using LLMs to generate relevant, accurate, helpful, and unharmful responses to lab tes...

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Veröffentlicht in:	arXiv.org 2024-01
Hauptverfasser:	He, Zhe, Balu Bhasuran, Qiao, Jin, Tian, Shubo, Hanna, Karim, Shavor, Cindy, Lisbeth Garcia Arguello, Murray, Patrick, Lu, Zhiyong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Chatbots Computer Science - Artificial Intelligence Computer Science - Computation and Language Laboratory tests Large language models Quality assurance Questions Safety Similarity
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