在诊断角质眼病中的ChatGPT的性能
Mohammad Delsoz1, Yeganeh Madadi1, Hina Raja1
1Department of Ophthalmology, Hamilton Eye Institute, University of Tennessee Health Science Center, Memphis, TN.
Cornea
|February 23, 2024
概括
与ChatGPT-3.5相比,ChatGPT-4.0在诊断角膜疾病方面表现出更好的准确性,显示出在眼科护理中临床整合的前景.
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:
- 角膜疾病包括一系列影响眼睛透明度的疾病.
- 准确及时诊断对于有效管理角膜疾病至关重要.
- 大型语言模型 (LLM) 越来越多地被用于医学应用中的潜力.
研究的目的:
- 评估ChatGPT-4.0和ChatGPT-3.5对角膜疾病的诊断能力.
- 将这些人工智能模型的诊断准确性与人类角膜专家进行比较.
主要方法:
- 从公共数据库中随机选择了20个角膜疾病病例报告.
- 病例描述被输入到ChatGPT-4.0和ChatGPT-3.5中进行临时诊断.
- 人工智能生成的诊断与三个角膜专家的诊断进行了比较,评估了准确性和观察者之间的一致性.
主要成果:
- 聊天GPT-4.0实现了85%的诊断准确率 (17/20个案例),显著超过了ChatGPT-3.5的60%准确率 (12/20个案例).
- 人类专家实现了100%的准确性.
- 在ChatGPT-4.0和专家之间,观察者之间的一致性比在ChatGPT-3.5和专家之间 (60%) 高 (75-85%).
结论:
- 与ChatGPT-3.5.5.0相比,ChatGPT-4.0显示出与角膜疾病的诊断准确度明显提高.
- 这些发现表明,ChatGPT-4.0对眼科的临床整合具有前景.
- 建议采用利用人工智能洞察力和人类专业知识的综合方法,以获得最佳的眼科护理结果.
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