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Artificial intelligence (AI) is profoundly transforming medicine. Therefore, the aim of this article is to analyze the use of AI in the diagnosis of diabetic retinopathy (DR), highlighting significant advances from systems based on pixel analysis to advanced Deep Learning (DL) and Machine Learning (ML) models, and their implications in clinical practice and medical training. To this end, a state-of-the-art study has been carried out analyzing 28 publications on AI and its impact on medical diagnoses, as well as the role it is playing in medical training. The main findings include its high sensitivity and specificity, as well as its efficiency within health systems.

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Incorporating Artificial Intelligence in Diabetic Retinopathy Diagnosis: Educational Implications for Medical Training

  • 会议论文

  • 发表日期：

    2025年

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  • Jesús Martín González,
  • Teresa Martín García,
  • David Alonso Moro,
  • Francisco Javier García Criado,
  • Juan Manuel Corchado Rodríguez

摘要

Artificial intelligence (AI) is profoundly transforming medicine. Therefore, the aim of this article is to analyze the use of AI in the diagnosis of diabetic retinopathy (DR), highlighting significant advances from systems based on pixel analysis to advanced Deep Learning (DL) and Machine Learning (ML) models, and their implications in clinical practice and medical training. To this end, a state-of-the-art study has been carried out analyzing 28 publications on AI and its impact on medical diagnoses, as well as the role it is playing in medical training. The main findings include its high sensitivity and specificity, as well as its efficiency within health systems.