在诊断角质眼病中的ChatGPT的性能
Mohammad Delsoz1, Yeganeh Madadi1, Wuqaas M Munir2
1Hamilton Eye Institute, Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, TN, USA.
medRxiv : the preprint server for health sciences
|September 18, 2023
概括
在诊断角膜疾病方面,ChatGPT-4.0的准确性达到了85%,显著优于ChatGPT-3.5 (60%). 这一进步显示了将人工智能整合到眼科中,以提高诊断能力的前景.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医学诊断 医学诊断 医学诊断
背景情况:
- 角膜疾病是一个重大的诊断挑战.
- 评估像ChatGPT这样的先进AI模型的诊断潜力对于临床应用至关重要.
研究的目的:
- 评估ChatGPT-4.0和ChatGPT-3.5对角膜眼病的诊断能力.
- 将人工智能模型的诊断准确度与人类角膜专家进行比较.
主要方法:
- 从公共在线数据库中随机选择了20个角膜病例报告.
- 病例描述被输入到ChatGPT-4.0和ChatGPT-3.5中进行临时诊断.
- 人工智能诊断与三名人类角膜专家的诊断进行了比较,并评估了观察者之间的一致性.
主要成果:
- 聊天GPT-4.0的准确率达到85% (17/20个案例),而聊天GPT-3.5的准确率达到60% (12/20个案例).
- 人类专家实现了100%的准确性,90%,90%.
- 聊天GPT-4.0和人类专家之间的观察者间一致性在75%到85%之间.
结论:
- 与ChatGPT-3.5.5相比,ChatGPT-4.0显示出对角膜疾病的诊断准确度有所提高.
- 这些发现表明,ChatGPT-4.0对眼科的临床整合具有前景.
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