Journal of Otolaryngology and Ophthalmology of Shandong University ›› 2024, Vol. 38 ›› Issue (5): 153-159.doi: 10.6040/j.issn.1673-3770.0.2024.084

• Review • Previous Articles    

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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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

CLC Number: 

  • R774.5
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