角膜眼科:扩展角膜诊断和人工智能的临床蓝图,用于系统性健康洞察
Ryung Lee1, Rahul Kumar2, Alex Weaver3
1Touro College of Osteopathic Medicine, New York, NY 10027, USA.
Diagnostics (Basel, Switzerland)
|March 13, 2025
概括
眼科使用眼睛成像来寻找疾病生物标志物以进行早期检测. 通过人工智能增强的角膜成像显示出诊断糖尿病和COVID-19等全身性疾病的前景.
科学领域:
- 眼科医生 眼科 眼科
- 生物医学工程 生物医学工程
- 翻译医学是一种翻译医学.
背景情况:
- 眼科是使用眼科成像用于系统性疾病生物标志物发现的新兴领域.
- 在了解眼科的临床应用方面存在差距.
- 系统性疾病的眼部表现可以通过先进的成像检测.
研究的目的:
- 审查目前关于系统性疾病角膜生物标志物的研究结果.
- 为了探索这些生物标志物的眼科成像相关物.
- 讨论角膜眼科在翻译医学和未来临床整合中的作用.
主要方法:
- 文献综述综合了眼科目前的研究.
- 对具有可检测眼部表现的全身性疾病的分析.
- 检查成像方式,如体内共聚焦显微镜和OCT.
- 在生物标志物识别中包括人工智能驱动的分析.
主要成果:
- 各种系统性疾病 (代谢性,传染性,神经退行性,血液性,自身免疫性,遗传性) 呈现眼部症状.
- 角膜成像越来越被认可用于识别系统性疾病的生物标志物.
- 人工智能增强了这些生物标志物的检测和分析.
结论:
- Corneal oculomics 为系统性疾病诊断和风险分层提供了一种非侵入性的方法.
- 需要进一步将眼科药物纳入临床实践和研究.
- 眼科在推进翻译医学方面具有显著的潜力.
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