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Updated: Feb 1, 2026

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在移植中使用人工智能对捐赠人肝脏肥胖症的摄影评估进行了广泛的审查
Georgios Kourounis1,2,3, Samuel J Tingle1,2,3, Ali Elmahmudi4
1Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Clinical transplantation
|January 31, 2026
概括
人工智能 (AI) 在从移植照片中评估肝脏肥胖症方面表现有前途. 然而,目前的研究是有限的,需要更大的,外部验证的研究临床信任.
科学领域:
- 医疗成像医学成像
- 计算机视觉 计算机视觉
- 器官移植 器官移植
背景情况:
- 准确评估肝硬化和器官质量对于安全的肝移植至关重要.
- 计算机视觉为标准化和改进器官评估提供了潜力.
- 本综述探讨了人工智能在摄影肝硬化症评估中的作用.
研究的目的:
- 绘制当前关于人工智能支持肝硬化症摄影评估的证据.
- 确定该领域未来的研究方向.
主要方法:
- 我们对PubMed,SCOPUS和Web of Science的文献进行了范围审查.
- 研究侧重于人工智能工具,用于从捐赠照片中评估肝脏器官质量.
- 为了进行定性综合和批判性审查,遵循了PRISMA-ScR指南.
主要成果:
- 六项研究符合纳入标准,供体样本大小从40到192.
- 大多数研究使用了二元分类 (30%的肥胖症值) 准确度为0.810.92.
- 挑战包括小型,不平衡的数据集和缺乏外部验证.
结论:
- 目前的证据基础很小,而且异质.
- 人们对开发用于肝脏评估的AI工具越来越感兴趣.
- 未来的研究需要进行更大规模的研究,并进行强有力的外部验证,以便在临床上采用.
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