DIAGNOSTIC RESULTS OF DIABETIC RETINOPATHY BY USING ARTIFICIAL INTELLIGENCE AT THAI NGUYEN NATIONAL HOSPITAL

Thị Hải Hà Lương, Trọng Văn Pham, Đức Minh Đặng , Sỹ Quỳnh Ninh , Giáng Kiều Pham

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Abstract

Objective: Evaluating the results of Diabetic Retinopathy diagnosis using Artificial intelligence at Thai Nguyen National Hospital. Patients and methods: 1012 patients with diabetes type 2 (1943 eye) at Thai Nguyen National Hospital. A cross-sectional study. Results: - There are 13.8% of eyes with diabetic retinopathy, of which the most common damage are microaneurysms, retinal exudates and retinal hemorrhages. - There are 10,6% eye of  proliferative DR and 89,4% eye of  non-proliferative DR with different levels, in there Mild non-proliferative DR are highest rate with 40,9%. Conclusion: Artificial intelligence can be used to diagnose DR for patients with diabetes type 2 are monitored and treated as outpatients at provincial hospitals.

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