山东大学耳鼻喉眼学报 ›› 2024, Vol. 38 ›› Issue (5): 153-159.doi: 10.6040/j.issn.1673-3770.0.2024.084

• 综述 • 上一篇    

人工智能在DME筛查、诊断和预后中的应用

沈嘉琪1,李潇飒2,毕燕龙1,张敬法2,3   

  1. 深圳)犇亞国际眼科转化研究所/深圳希玛林顺潮眼科医院, 广东 深圳 518000
  • 发布日期:2024-09-25
  • 基金资助:
    国家自然科学基金青年项目(32201244);国家自然科学基金面上项目(82171062)

The application of artificial intelligence in screening, diagnosis and prognosis of diabetic macular edema

SHEN Jiaqi1, LI Xiaosa2, BI Yanlong1, ZHANG Jingfa2,3   

  1. 1. Department of Ophthalmology, Tongji University Affiliated Tongji Hospital/Tongji EyeInstitute, Tongji University, Shanghai 2003332. Department of Ophthalmology, Shanghai General Hospital (Shanghai First People's Hospital)/National Clinical Research Center for Eye Diseases/Shanghai Key Laboratory of Ocular Fundus Diseases/Shanghai Engineering Center for Visual Science and Photomedicine/Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai 2000803. Benya International Translational Eye Research Institute of The Chinese University of Hong Kong (Shenzhen)/C-MER (Shenzhen)Dennis Lam Eye Hospital, Shenzhen 518000
  • Published:2024-09-25

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摘要： 人工智能(artificial intelligence, AI)在临床疾病的早期筛查、诊断、评估和治疗方案决策等领域展现出广阔的应用前景。糖尿病性黄斑水肿(diabetic macular edema, DME)是导致工作年龄人群视力损害的一个重要原因,鉴于DME的影像资料复杂性、疾病的高致盲率和治疗难度,探索AI在DME疾病诊疗中的应用具有重要意义。论文综述了AI技术在DME的早期筛查、精确诊断和预后预测中的应用进展,分析了AI解决方案在DME实际应用中面临的挑战,并对未来发展方向进行展望,旨为实现DME的个体化精确诊疗提供有益参考。

关键词: 糖尿病性黄斑水肿, 人工智能, 精准医疗, 眼部影像学

Abstract: Artificial intelligence(AI)has shown promising applications in the early screening, diagnosis, assessment, and treatment decision-making of clinical diseases. Diabetic macular edema(DME)is a significant cause of visual impairment among the working-age population. Given the complexity of DME imaging data, high rate of blindness, and treatment challenges associated with the disease, exploration of AI in the diagnosis and treatment of DME is of great importance. This review summarizes the advancements of AI technology in the early screening, accurate diagnosis, and prognosis prediction of DME, analyzes the challenges faced by AI solutions in practical DME applications, and offers insights into future directions, with the aim of providing valuable guidance for achieving personalized and precise diagnosis and treatment of DME.

Key words: Diabetic macular edema, Artificial intelligence, Precision medicine, Eye imaging

中图分类号: 

  • R774.5
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