AI's Role in Safeguarding Diabetic Vision
A national project was implemented in the Sultanate of Oman to utilize artificial intelligence (AI) technologies for screening diabetic retinopathy, aiming for early detection of serious complications that could lead to blindness. The project achieved qualitative results, examining over 43,000 retinal images and successfully identifying approximately 12,000 patients in need of early clinical follow-up, with an accuracy of 91.3% and a sensitivity of 85%. It contributed to reducing waiting lists by 87% and decreased the diagnostic screening time from an hour to 15 minutes, resulting in annual cost savings of 43.2%. Future plans aim to expand screening services to include other eye diseases, alleviating the workload on clinics, and enhancing the healthcare system through smart technologies. This approach promotes both health and economic benefits, ensuring a safer life for patients.
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