# Argentina Retinar AI diabetic retinopathy detection

> Live situation record from CLSTR: https://clstr.news/situations/argentina-retinar-ai-diabetic-retinopathy-detection
> Updated: 2026-08-19T00:00:00.000Z. Sources: 3. Developments: 2.

Retinar is an Argentine tele-ophthalmology platform developed by researchers from CONICET and the Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN/UNCPBA). The artificial intelligence system analyzes retinal images to detect diabetic retinopathy, classifying results on a scale of zero to five and flagging high-risk cases for specialist referral.

Initially deployed in several hospitals, including Julieta Lanteri, El Cruce, and José Irurzun, the platform has been integrated into the Buenos Aires province’s Integrated Health History system. Testing in public hospitals showed high accuracy, with only one false negative recorded in a trial of approximately 400 patients. Developers are currently seeking final authorization from ANMAT for commercialization, with goals to expand the technology across Latin America to address shortages of eye specialists.

## Timeline

### 2026-08-19: RETINAR AI platform developed to detect diabetic retinopathy

Argentine researchers have developed RETINAR, an AI platform that detects diabetic retinopathy from eye photographs to assist in early diagnosis and specialist referrals.

3 sources. https://clstr.news/cluster/retinar-ai-platform-developed-to-detect-diabetic-retinopathy

### 2026-08-01: Argentina's Retinar AI Platform Expands Diabetic Eye Care in Hospitals

Argentina's Retinar AI tele‑ophthalmology platform, created by CONICET and UNCPBA researchers, is now used in several hospitals to detect diabetic retinopathy early and support clinicians.

2 sources. https://clstr.news/cluster/argentinas-retinar-ai-platform-expands-diabetic-eye-care-in-hospitals

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Cite as: Argentina Retinar AI diabetic retinopathy detection. CLSTR, https://clstr.news/situations/argentina-retinar-ai-diabetic-retinopathy-detection