Objective:To explore the value of artificial intelligence(AI)-assisted diagnosis platform combined with optical coherence tomography(OCT)in diagnosing blinding eye diseases,so as to provide effectively scientific basis for favorable prognosis of patients with blinding eye diseases.Methods:A total of 72 patients with visual impairment who admitted to the outpatient of hospital were selected.All patients received the detection of AI-assisted diagnosis platform combined with OCT diagnosis.The final diagnosis result of the detection of doctor combined with the relevant ophthalmic examination was used as the"gold standard"to assess respectively the consistence among single AI-assisted diagnosis platform,single OCT,the combination of them and the"gold standard",as well as the sensitivity,specificity and accuracy of them in diagnosing the blinding eye diseases.Results:For the 72 patients,the detection rate of the detection result of doctor combined with the relevant ophthalmic examination was 27.78%(20/72)for blinding eye diseases,and the detection rate of that was 72.22%(52/72)for non-blinding eye diseases.The consistency between AI-aided platform diagnosis and the"gold standard"was general in diagnosing the blinding eye diseases(kappa=0.530).The consistency between OCT and the"gold standard"was favorable in diagnosing that(kappa=0.611).The consistency between AI-assisted platform combined with OCT and the"gold standard"was better(kappa=0.799).The specificity,sensitivity,positive predictive value,negative predictive value,diagnostic accuracy of AI-assisted platform combined with OCT diagnosis were respectively 92.31%,90.00%,81.82%,96.00%and 91.67,and the diagnostic value of the combination was higher than that of single AI-assisted platform and that of single OCT for all of above these indicators.Conclusion:Both the AI-assisted diagnosis platform and OCT can detect blinding eye diseases,and the combined detection of them has higher diagnostic value.