AI steps in to predict diabetic blindness risk

NCT ID NCT04624737

Summary

This study aimed to develop and test an artificial intelligence (AI) system to better predict the worsening of diabetic retinopathy, a common diabetes complication that can lead to vision loss. Researchers followed over 3,000 diabetic patients for up to three years, collecting eye scans and other health data to train and validate the AI tool. The goal was to create a more precise prediction system than current methods, helping eye doctors make better decisions during patient check-ups.

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Contacts and locations

Locations

  • CHU de NICE HÔPITAL PASTEUR 2

    Nice, CS 51069_06001, Nice cedex1, France

  • Centre Broca / Mutuelle Generale

    Paris, 75013, France

  • Chic Creteil

    Créteil, 94010, France

  • Chu Avicenne

    Bobigny, 93000, France

  • Chu Bordeaux

    Bordeaux, 33000, France

  • Chu Brest

    Brest, 29200, France

  • Chu Dijon

    Dijon, 21000, France

  • Chu Lariboisiere

    Paris, 75010, France

  • Chu Lyon Croix Rousse

    Lyon, 69317, France

  • Chu Pitie Salpetriere

    Paris, 75013, France

  • Clinique Monticelli

    Marseille, 13008, France

  • Clinique ophtalmologique du CHU de Nantes

    Nantes, 44000, France

  • Fondation Rothschild

    Paris, 75019, France

  • Hôpital des 15-20

    Paris, 75571, France

Conditions

Explore the condition pages connected to this study.