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眼科学的演变:从裸眼观察到100年来的人工智能
Anushka Irodi1, Xiaofei Wang2, Ya Xing Wang3,4
1School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Ophthalmology science
|March 11, 2026
概括
眼科,眼睛生物标志物对系统性疾病的研究,已经发展了100多年. 影像和人工智能的进步现在提高了眼睛在诊断心血管和神经退行性疾病等疾病中的作用.
科学领域:
- 眼科医生 眼科 眼科
- 生物标志物 生物标志物
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 眼睛是系统健康的窗口,其独特的疾病检测能力在历史上得到了认可.
- 长期以来,临床观察表明眼部症状与全身疾病之间存在联系.
研究的目的:
- 追踪眼科学的历史演变,重点关注系统性疾病的眼部生物标志物.
- 审查从早期临床见解到现代成像和人工智能技术的进展.
主要方法:
- 进行了叙事历史审查.
- 检查了眼科检查,成像技术和数据分析的关键发展.
- 分析了人工智能在眼科学中的整合.
主要成果:
- 在过去的一个世纪里,成像和计算方法使得视网膜生物标志物的精确定量测量成为可能.
- 这些生物标志物有助于检测心血管,神经退行性和代谢性疾病.
- 人工智能集成显著扩大了眼科的诊断潜力.
结论:
- 眼科整合了历史临床知识与当代技术创新.
- 本综述将当前的进展置于背景,展示了眼睛在上个世纪系统性疾病检测中的不断扩大的作用.
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