Screening for diabetic retinopathy with artificial intelligence: a real world evaluation.

Journal: Acta diabetologica
Published Date: Jul 12, 2024

Abstract

AIM: Periodic screening for diabetic retinopathy (DR) is effective for preventing blindness. Artificial intelligence (AI) systems could be useful for increasing the screening of DR in diabetic patients. The aim of this study was to compare the performance of the DAIRET system in detecting DR to that of ophthalmologists in a real-world setting.

Authors

  • Silvia Burlina
    Diabetes and Endocrinology Unit, ULSS8 Berica, Arzignano, Veneto, VI, Italy. silvia.burlina@aulss8.veneto.it.
  • Sandra Radin
    Eye Unit, ULSS 8 Berica, Montecchio Maggiore, Veneto, VI, Italy.
  • Marzia Poggiato
    Eye Unit, ULSS 8 Berica, Montecchio Maggiore, Veneto, VI, Italy.
  • Dario Cioccoloni
    Diabetes and Endocrinology Unit, ULSS8 Berica, Arzignano, Veneto, VI, Italy.
  • Daniele Raimondo
    Diabetes and Endocrinology Unit, ULSS8 Berica, Arzignano, Veneto, VI, Italy.
  • Giovanni Romanello
    Diabetes and Endocrinology Unit, ULSS8 Berica, Arzignano, Veneto, VI, Italy.
  • Chiara Tommasi
    Diabetes and Endocrinology Unit, ULSS8 Berica, Arzignano, Veneto, VI, Italy.
  • Simonetta Lombardi
    Diabetes and Endocrinology Unit, ULSS8 Berica, Arzignano, Veneto, VI, Italy.

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