在复杂的眼科病例中GPT-4的多模式性能
David Mikhail1, Daniel Milad2,3, Fares Antaki2,4,5
1Temerty Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada.
Journal of personalized medicine
|April 25, 2025
概括
在眼科中,GPT-4的诊断准确性仅仅随着图像的使用而下降,但随着描述而改善. 它显示出作为辅助工具的潜力,可与一些推理任务中的人类专家相提并论.
科学领域:
- 人工智能在医学中的应用
- 眼科医生 眼科 眼科
- 多式联络AI 多式联络AI
背景情况:
- 在GPT-4的多模式功能提供了眼科人工智能的进步.
- 在眼科中,GPT-4对于复杂的诊断和推理任务的实用性尚未完全被理解.
- 对人类专业知识进行AI性能评估对于临床整合至关重要.
研究的目的:
- 评估GPT-4在复杂的眼科病例中的诊断和下一步推理方面的多式联络性能.
- 通过不同的输入方式,将GPT-4的准确性与董事会认证的眼科医生进行比较.
- 确定多式人工智能在眼科诊断中的局限性和潜在应用.
主要方法:
- GPT-4在三个方面进行了评估:包含图形描述的文本,包含图形的文本和仅包含图形的文本.
- 在复杂的眼科病例中,通过诊断和下一步准确度来衡量表现.
- GPT-4的结果与三位经过董事会认证的眼科医生进行了比较.
主要成果:
- GPT-4实现了38.4%的诊断准确度和57.8%的下一步准确度,仅使用数字.
- 与纯文本提示相比,仅使用数字的诊断准确性显著下降 (p=0.007).
- 添加图形描述提高了诊断准确率至49.3%,与仅文本提示相比.
结论:
- 当仅依赖眼科图像时,GPT-4的诊断性能下降,这表明当前的多式联络限制.
- GPT-4的诊断和下一步推理性能与至少一个眼科医生相比较.
- 在眼科中,GPT-4是一个有前途的辅助工具,未来的研究将重点放在快速优化上.
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