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Updated: Feb 9, 2026
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Smartphone Fundus Photography
Published on: July 6, 2017
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离线人工智能辅助下 fundus 成像用于初步查童年玻璃眼瘤
Sirisha Senthil1, Divya Parthasarathy Rao2, Shreya Bhandary3
1VST Center for Glaucoma Care, LV Prasad Eye Institute, Hyderabad, India.
概括
人工智能辅助的智能手机底部摄影显示,它有望用于识别儿科玻璃眼. 这项技术可能有助于检测儿童的视神经结构变化,有助于早期诊断和管理.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能在医学中的应用
- 医疗成像医学成像
背景情况:
- 儿科玻璃眼症带来了诊断上的挑战.
- 早期发现结构性视觉神经变化对于治疗儿科绿眼病至关重要.
- 便携式底部摄影为更广泛的可访问性提供了一个潜在的解决方案.
研究的目的:
- 评估人工智能 (AI) 辅助的可携式 fundus 摄影在患有青光眼的儿童中的可行性和性能.
- 评估AI在识别儿科玻璃眼瘤的结构性视神经损伤时的准确性.
主要方法:
- 一系列病例涉及儿童 (≤18岁) 在第三级眼科护理中心患有青光眼.
- 利用基于智能手机的 fundus 成像,并集成了离线 DrDeramus AI.
- 将AI衍生的转诊建议与视神经结构的临床评估进行了比较.
主要成果:
- 在21名儿童身上进行了人工智能辅助的 fundus 摄影和临床评估.
- 布兰德-阿尔特曼分析显示,垂直杯:盘比率 (-0.15到+0.23) 达成良好一致.
- 人工智能正确地推了8名有结构性视神经变化的儿童中的7名转诊,而没有任何儿童没有.
结论:
- 人工智能辅助的智能手机基底图像显示了识别儿科玻璃眼的潜力.
- 这项技术可能有助于检测光眼瘤儿童的视神经结构变化.
- 便携式人工智能驱动的 fundus 摄影可以改善儿科绿眼的查和诊断.
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