Artificial intelligence(AI)has shown promising applications in the early screening,diagnosis,assessment,and treat-ment 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 ad-vancements 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.
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