Feb. 6, 2024, 5:53 a.m. | Zhe He Balu Bhasuran Qiao Jin Shubo Tian Karim Hanna Cindy Shavor Lisbeth Garcia Arguello Patr

cs.CL updates on arXiv.org arxiv.org

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 test-related questions asked by patients and to identify potential issues that can be mitigated with augmentation approaches. We first collected lab test results related question and answer data from Yahoo! Answers and selected …

aim chatgpt cs.ai cs.cl evaluation generate generative lab lab results lab test language language models large language large language models llms patients peer quality questions study test

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