人工智能预测眼手术结果:一个系统性审查
Zeena Kailani1, Lauren Kim1, Joshua Bierbrier2
1Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
Frontiers in big data
|August 27, 2025
概括
人工智能 (AI) 在预测青光眼手术结果方面表现有前途, 需要进一步的研究来提高这些AI模型的临床适用性和通用性.
科学领域:
- 眼科 眼科
- 医疗信息学
- 人工智能
背景情况:
- 预测眼手术的结果是复杂的.
- 越来越多的青光眼患病需要改善手术预测结果.
- 人工智能 (AI) 提供了增强临床决策的潜力.
研究的目的:
- 系统地审查人工智能预测眼手术结果的证据.
- 与传统方法相比,评估人工智能模型的性能.
主要方法:
- 在主要数据库 (Medline,Embase,Web of Science,Scopus) 进行系统的文献搜索.
- 包括应用人工智能模型来预测眼手术结果的研究.
- 分析了6项涉及4630例手术的研究.
主要成果:
- 人工智能模型的表现始终优于传统的统计方法.
- 最好的人工智能模型在预测结果方面达到了87.5%的准确性.
- 主要预测因素包括人口统计,全身健康和眼科参数.
结论:
- 人工智能显示出预测眼手术结果的巨大潜力.
- 局限性包括缺乏外部验证和标准化的成功指标.
- 未来的研究需要前性,多中心的研究和标准化的临床实用数据.
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