对人工智能用于预测青光眼的进展进行系统审查:临床实施方面的挑战和建议
Yichuan G Liang1,2, Leo Fan3, Armando Teixeira-Pinto4,5
1Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia. ylia0293@sydney.edu.au.
NPJ digital medicine
|January 22, 2026
概括
人工智能 (AI) 在预测青光眼的进展方面表现有前途,但临床应用仍然面临挑战. 未来的研究需要强大的设计和透明的报告,以便在眼科护理中获得可靠的AI工具.
科学领域:
- 眼科和医学人工智能 (AI)
背景情况:
- 玻璃眼是全球不可逆转失明的主要原因,其特点是不同的进展率.
- 人工智能 (AI) 在临床环境中提供了精确预测青光眼进展的潜力.
研究的目的:
- 系统地审查和评估人工智能在预测青光眼进展方面的定量表现.
- 为未来的临床实施确定当前人工智能方法的优点,局限性和挑战.
主要方法:
- 从主要数据库 (MEDLINE,Embase,Web of Science,Cochrane CENTRAL,arXiv) 中选的2014年以来发表的研究的系统审查.
- 两位独立审稿人使用QUADAS-2评估了研究资格和偏差风险.
- 分析的重点是来自43项独特研究的46份报告,评估AI对格洛科马转换,恶化和手术预测.
主要成果:
- 人工智能在预测青光眼转化,生物恶化和进行手术的进展方面表现中等至良好.
- 发现的关键挑战包括不一致的报告标准,研究设计的局限性,异质性以及AI普遍性和透明度差.
结论:
- 虽然人工智能显示出对玻璃眼癌进展预测的潜力,但重大障碍阻碍了临床翻译.
- 建议包括采用强大的研究设计和透明的报告实践.
- 为指导未来的人工智能开发和实施,提出了一份针对青光眼的推实践清单.
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