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人工智能在膀管道逆流性疾病中的使用:对遵守指南的比较研究
Mehmet Sarikaya1, Fatma Ozcan Siki1, Ilhan Ciftci1
1Department of Pediatric Surgery, Faculty of Medicine, Selcuk University, Konya 42100, Turkey.
Journal of clinical medicine
|April 12, 2025
概括
包括ChatGPT-4.0在内的四个AI工具显示,它们高度符合美国泌尿病学协会 (AUA) 膀管外逆流 (VUR) 准则. 这些人工智能应用程序可以在儿科泌尿病学中提供可靠的基于指南的建议.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 人工智能的人工智能
- 医学指导方针 医学指导方针
背景情况:
- 膀回流 (VESICOURETERAL REFLUX,简称VUR) 是儿科泌尿病学中一个常见的疾病.
- 对VUR的管理依赖于既定的临床指南,例如美国泌尿病学会 (AUA) 的指南.
- 人工智能 (AI) 在医疗保健中的整合需要评估它是否符合临床标准.
研究的目的:
- 评估领先的人工智能应用程序是否符合AUA VUR管理准则.
- 为了比较ChatGPT-4.0,Bing AI,Google Bard和Perplexity的性能,与已有的儿科泌尿病学建议进行比较.
主要方法:
- 根据AUA VUR指南,向四个AI平台提出了51个问题.
- 两名儿科外科医生独立评估了患者的反应,使用五分利克特度量表.
- 通过使用类内相关系数 (ICC) 来量化评价者之间的可靠性.
主要成果:
- 所有的人工智能应用都显示出高度的合规性,平均得分从4.70到4.91.9不等.
- 在AI反应的准确性方面没有发现统计学上显著的差异 (p = 0.223).
- 高互评级协议 (ICC > 0.9) 证实了所有平台的一致评分.
结论:
- 评估的AI工具与AUA VUR管理指南密切结合.
- 人工智能应用显示出作为工具在儿科泌尿病学中提供符合指南的建议的潜力.
- 进一步的研究可以探索AI在支持VUR的临床决策中的作用.
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