2025年关于儿科泌尿器科人工智能模型的更新:来自AI-PEDURO合作项目的结果
Adree Khondker1, Ihtisham Ahmad2, Rahim Dhalla3
1Division of Urology, The Hospital for Sick Children, Toronto, ON, Canada; Division of Urology, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Journal of pediatric urology
|November 6, 2025
概括
儿童泌尿病学的人工智能 (AI) 模型正在迅速发展,AI-PEDURO存储库现在包含81项研究. 虽然有前途,但当前的AI应用显示中等质量,需要进一步开发以广泛临床使用.
科学领域:
- 儿科泌尿外科 儿科泌尿外科
- 人工智能应用程序 人工智能应用程序
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 应用在各种医疗领域正在迅速扩展.
- AI-PEDURO在线存储库提供了儿童泌尿病学AI模型的年度更新.
- 这次生活范围审查突出了新兴趋势并更新了存储库.
研究的目的:
- 为AI-PEDURO在线存储库提供年度更新.
- 在儿科泌尿病学中审查新的AI模型.
- 为突出儿童泌尿病学AI新兴趋势.
主要方法:
- 进行了PRISMA-ScR一致的生活范围审查.
- 从2024年6月到2025年7月搜索了MEDLINE,EMBASE,Scopus和CINAHL,以获得1年的更新.
- 符合条件的研究被合成,使用APPRAISE-AI工具进行评估,并添加到AI-PEDURO存储库中.
主要成果:
- 新增了22项新研究,使得存储库中的AI模型总数达到81个.
- 水性和皮叶造形术是最常见的主题,其次是膀外流和尿路感染.
- 研究质量一般低至中等,在临床相关性和报告方面有优势,但在方法严谨性和可重复性方面有弱点.
结论:
- 人工智能模型正在适用于中等质量的儿科泌尿病学的各种临床主题.
- 目前的人工智能模型显示出显著的前景,但尚未过渡到广泛的临床应用.
- 需要进一步的研究,以提高临床采用的方法论严谨性和可重复性.
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