地理缩的人工智能:珍珠和陷
Marie Louise Enzendorfer1, Ursula Schmidt-Erfurth
1Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
Current opinion in ophthalmology
|September 11, 2024
概括
人工智能 (AI) 正在推动地理缩 (GA) 的临床管理,这是一种与年龄相关的黄斑变性的一种形式. 人工智能工具现在有助于早期诊断和测量疾病进展,为个性化治疗铺平了道路.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 地理缩 (GA) 是与年龄相关的黄斑变性 (AMD) 的视力损害,晚期表现.
- 精确监测GA进展对于评估新疗法和管理患者护理至关重要.
研究的目的:
- 审查人工智能 (AI) 在地理缩 (GA) 临床管理方面的最新进展.
- 突出AI在查,早期诊断和GA进展测量的作用.
主要方法:
- 关于人工智能在 GA 管理中的应用最新文献的综述.
- 分析AI系统对多式联网膜图像上的GA病变进行细分 (CFP,FAF,OCT).
- 评估AI在测量GA进展的有用性,用于新批准的疗法.
主要成果:
- 人工智能系统在使用多式联网膜成像对GA病变进行细分方面取得了重大进展.
- 光学连贯断层扫描 (OCT) 为人工智能算法开发提供最佳的高分辨率3D数据.
- 人工智能方法对于患者管理和测量GA治疗进展变得不可或缺.
结论:
- 人工智能为GA查,早期诊断和患者管理提供创新解决方案.
- 人工智能在GA临床实践中的现实世界实施正在开始.
- 该评论讨论了GA临床实施人工智能方法的进展和挑战.
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