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在眼科中ChatGPT的诊断能力

Asaf Shemer^1,2, Michal Cohen^3,4, Aya Altarescu^3,5

¹Department of Ophthalmology, Shamir Medical Center (Formerly Assaf-Harofeh), Tzrifin, Israel. ShemerAsafMD@gmail.com.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie

|January 6, 2024

概括

与医疗专业人员相比,ChatGPT在眼科领域的诊断准确性较低. 虽然它更快,但它的诊断性能需要改善,以获得临床应用.

科学领域:

眼科医生眼科眼科
人工智能在医学中的应用
医学诊断医学诊断医学诊断

背景情况:

人工智能 (AI) 在医疗保健中的整合为诊断过程提供了潜在的好处.
在专业医疗领域,评估像ChatGPT这样的大型语言模型 (LLM) 的诊断能力至关重要.

研究的目的:

评估ChatGPT在眼科中的诊断准确性.
将ChatGPT的诊断性能与眼科住院医生和护理人员进行比较.

主要方法:

一项回顾性队列研究分析了来自63名患者的126例眼科病例.
临床病例被介绍给ChatGPT,住院医生和护理人员,仅基于病史 (Hx) 和病史与检查结果 (Hx和Ex).
所有组的诊断准确率和任务完成时间都进行了比较.

主要成果:

当单独使用Hx时,ChatGPT的诊断准确度明显低于仅使用Hx时的住院人员和护理人员 (54%对比75%和71%).
随着Hx和Ex,ChatGPT的准确性提高到68%,仍然低于居民 (94%) 和出席 (86%).
聊天GPT在完成诊断任务时比人类临床医生快4-5倍.

结论:

与人类专家相比,ChatGPT在眼科中表现出低于最佳的诊断准确性,即使有额外的临床数据.
尽管精度较低,但ChatGPT提供了显著的节省时间的好处.
需要进一步开发以提高AI诊断能力在专业医疗领域.

关键词:

人工智能的人工智能是人工智能.聊天GPT 聊天在GPT 聊天诊断诊断诊断诊断诊断眼科医生眼科眼科居民居民居民

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