Jinwei Yu, Fuqiang Li, Mingzhu Liu, Mengdi Zhang, Xiaoli Liu
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引用次数: 0
摘要
目的：描述人工智能（AI）在眼科疾病中的应用及其未来可能的发展方向：对PubMed、Web of Science和Embase数据库（2019-2024年）中的文献进行回顾性综述：人工智能有助于白内障的诊断、分类、术前晶状体计算、手术风险、术后视力预测和随访。对于青光眼，人工智能可加强早期诊断、病情发展预测和手术风险评估。它能早期检测糖尿病视网膜病变，预测糖尿病黄斑水肿的治疗效果。人工智能分析眼底图像，用于老年性黄斑变性（AMD）的诊断和风险预测。此外，人工智能还能对葡萄膜炎的玻璃体混浊进行量化和分级。对于早产儿视网膜病变，人工智能有助于疾病分类，预测疾病的发生和严重程度。最近，人工智能还通过分析眼底血管变化来预测全身性疾病：结论：人工智能已被广泛应用于常见致盲眼病的诊断、随访和治疗效果预测。结论：人工智能已被广泛应用于常见致盲眼病的诊断、随访和治疗效果预测，此外，它在预测全身性疾病方面也有独特的作用。
Application of Artificial Intelligence in the Diagnosis, Follow-Up and Prediction of Treatment of Ophthalmic Diseases.
Purpose: To describe the application of artificial intelligence (AI) in ophthalmic diseases and its possible future directions.
Methods: A retrospective review of the literature from PubMed, Web of Science, and Embase databases (2019-2024).
Results: AI assists in cataract diagnosis, classification, preoperative lens calculation, surgical risk, postoperative vision prediction, and follow-up. For glaucoma, AI enhances early diagnosis, progression prediction, and surgical risk assessment. It detects diabetic retinopathy early and predicts treatment effects for diabetic macular edema. AI analyzes fundus images for age-related macular degeneration (AMD) diagnosis and risk prediction. Additionally, AI quantifies and grades vitreous opacities in uveitis. For retinopathy of prematurity, AI facilitates disease classification, predicting disease occurrence and severity. Recently, AI also predicts systemic diseases by analyzing fundus vascular changes.
Conclusions: AI has been extensively used in diagnosing, following up, and predicting treatment outcomes for common blinding eye diseases. In addition, it also has a unique role in the prediction of systemic diseases.
期刊介绍：
Seminars in Ophthalmology offers current, clinically oriented reviews on the diagnosis and treatment of ophthalmic disorders. Each issue focuses on a single topic, with a primary emphasis on appropriate surgical techniques.
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