人工智能在Fuchs角膜内皮营养不良诊疗中的应用研究进展
Research progress of artificial intelligence in the diagnosis and treatment of Fuchs endothelial corneal dystrophy
摘要
Fuchs角膜内皮营养不良是一种遗传性角膜内皮疾病，好发于中老年人。因早期无明显临床症状，该病易被漏诊。若白内障等内眼手术前未明确诊断，术后一旦出现角膜水肿，易引发医疗纠纷。因此早期诊断与分级有助于明确患者角膜状态，降低内眼手术风险，通过早期干预改善患者预后。随着人工智能技术的发展与学科交叉融合的深入，人工智能辅助Fuchs角膜内皮营养不良诊疗的研究取得了较大进展。本文综述人工智能在裂隙灯生物显微镜、前节OCT、角膜内皮镜和共聚焦显微镜检查中对Fuchs角膜内皮营养不良的辅助诊断、严重程度分级和预后评估的应用研究进展，指出当前研究面临的挑战与未来应用前景，以期为人工智能在该病诊疗中的应用提供新思路。
Fuchs endothelial corneal dystrophy is an inherited corneal endothelial disease that primarily affects middle-aged and elderly individuals. Due to the absence of obvious clinical symptoms in its early stages, it is often missed in diagnosis. If such patients are not properly diagnosed prior to cataract or other intraocular surgeries, postoperative corneal edema can easily lead to medical disputes. Therefore, early diagnosis and grading are crucial for clarifying patients′ corneal status, reducing the risks of intraocular surgeries, and improving prognosis through early intervention. With advancements in artificial intelligence and deepening interdisciplinary integration, significant progress has been made in research on AI-assisted diagnosis and treatment of Fuchs endothelial corneal dystrophy. This review summarizes the progress of AI applications in slit-lamp biomicroscopy, anterior segment OCT, specular microscopy, and confocal microscopy for the auxiliary diagnosis, grading, and prognosis assessment of Fuchs endothelial corneal dystrophy. It also highlights current research challenges and future application prospects, aiming to offer new insights for the application of AI in the diagnosis and treatment of this disease.
年，卷(期)：
2026, 62(10)
在线出版日期：
2026年10月11日
