AI模型努力从病人的描述中准确确定遗传条件。 AI models struggle to accurately identify genetic conditions from patient-written descriptions.

NIH研究人员发现,AI模型努力从病人的书写描述中准确辨别出遗传条件,尽管从教科书类似的描述中准确诊断出遗传条件。 NIH researchers discovered that AI models struggle to accurately identify genetic conditions from patient-written descriptions, despite accurately diagnosing from textbook-like descriptions. 小组发现,包括查特格普特在内的10种不同的大语言模型的准确性范围很广,在分析病人编写的摘要时明显下降。 Testing 10 different large language models, including ChatGPT, the team found that accuracy ranged widely, dropping significantly when analyzing patient-written summaries. 这突出表明需要改进用于保健应用的AI工具。 This highlights the need to improve AI tools for healthcare applications.