在胃肠道手术的抗凝血管理中评估具有或没有取回增强生成的ChatGPT4
Sheza Malik1, Himal Kharel1, Dushyant S Dahiya2
1Internal Medicine, Rochester General Hospital, NY, USA (Sheza Malik, Himal Kharel).
Annals of gastroenterology
|September 6, 2024
概括
这项研究发现,虽然像ChatGPT-4这样的AI模型在指导胃肠道手术的抗凝血中表现有希望,但它们的准确性不足以进行独立的临床决策. 人工智能可以支持,但不能取代医疗保健专业人员.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 胃肠病学 胃肠病学
背景情况:
- 管理胃肠道 (GI) 程序的抗凝剂越来越复杂.
- 这项研究解决了在这个领域需要准确的医疗指导的需求.
研究的目的:
- 评估ChatGPT-4在提供医疗指导的准确性,在GI手术期间的抗凝管理.
- 将ChatGPT-4与早期的人工智能模型 (ChatGPT-3.5) 和检索增强生成模型 (ChatGPT4-RAG) 进行比较.
主要方法:
- 根据专业指南,向ChatGPT-4提出了36个与抗凝血相关的问题.
- 九位胃肠科医生评估了人工智能产生的反应的准确性和相关性.
- 与ChatGPT-3.5和ChatGPT4-RAG相比,对ChatGPT-4的性能进行了基准测试,并对临床医生的看法进行了调查.
主要成果:
- 与ChatGPT-3.5相比,ChatGPT-4的准确度提高了 (30.5%的完全准确率,47.2%的一般准确率).
- 聊天GPT4-RAG实现了75%的完全准确性,显示了当前信息的增强整合.
- 具体手术的准确率各不相同:食管胃管腺镜 (51.8%),内镜逆行胆血管细胞造影 (42.8%),以及结肠镜 (50%).
结论:
- 聊天GPT4-RAG为内镜手术提供了抗凝管理方面的进展,但需要进一步验证.
- 75%的准确率对于独立的临床决策是不够的,因为医疗法律方面的担忧.
- 人工智能最好用于支持,而不是取代临床判断,强调患者的保密性和医生与患者的关系.
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