人工智能在儿科外科病理学中的应用:系统性审查
Eve Wang1, Sarah Wu2, Mohsen Amoei1
1McGill University Faculty of Medicine and Health Sciences, Montreal, Quebec, Canada; Harvey E. Beardmore Division of Pediatric Surgery, The Montreal Children's Hospital, McGill University Health Centre, Montreal, Quebec, Canada.
Journal of pediatric surgery
|February 5, 2026
概括
人工智能 (AI) 在儿科外科病理学中显示出有前途的诊断和治疗预测. 然而,当前的人工智能模型需要更好的验证和性能指标用于临床使用.
科学领域:
- 计算病理学计算病理学
- 儿科外科病理学 儿科外科病理学
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 可以显著改善儿科外科病理学的诊断和治疗预测.
- 人工智能自动化任务,可能减少病理学家的工作量.
- 本综述考察了儿童外科病理学中的AI应用.
研究的目的:
- 系统地审查计算机病理学在儿科外科条件中的当前应用.
- 确定人工智能在儿童手术疾病的诊断,分级和结果预测中的作用.
主要方法:
- 在2025年1月之前对9个数据库进行系统审查.
- 包括关于机器学习,人工智能或儿科外科病理学的虚拟现实研究.
- 遵循PRISMA标准,并进行双重审查员选.
主要成果:
- 34项研究符合纳入标准,AI主要使用卷积神经网络在整个幻灯片图像上.
- 儿童癌症和赫施普隆病是最受研究的,诊断支持是主要目标.
- 许多研究报告了准确性和AUROC,但64.7%的人由于小队伍和方法限制而存在高偏差风险.
结论:
- 人工智能在儿科外科病理学中呈现出有前途的应用.
- 目前在人工智能模型验证,性能评估和临床实施策略方面存在差距.
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