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July 21, 2025Journal of Clinical MedicineOpen Access

The Role of Artificial Intelligence in the Diagnosis and Management of Diabetic Retinopathy

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Authors

AAA AnsariNANabiha Midhat AnsariUKUsman Khalid

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Overview

Literature review reveals AI improves screening and diagnosis in diabetic retinopathy, suggesting better patient outcomes.

Key Points

  • Artificial intelligence significantly enhances the diagnosis and management of diabetic retinopathy.
  • AI technologies like machine-learning aim to improve diagnostic accuracy and healthcare accessibility.
  • This review synthesized literature on AI applications in the screening and management of diabetic retinopathy.
  • Implementing AI in healthcare may lead to better patient outcomes and requires further research for ethical use.

Cite This Study

Ansari et al. (2025) studied this question.

synapsesocial.com/papers/689a060ee6551bb0af8cd347https://doi.org/10.3390/jcm14145150
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1THE ROLE OF ARTIFICIAL INTELLIGENCE IN AUTOMATED DETECTION OF DIABETIC RETINOPATHY: CLINICAL AND PUBLIC HEALTH PERSPECTIVES2025
  2. 2Systematic Review of AI Applications in Screening and Diagnosis of Diabetic Retinopathy in Rural Settings2024 · 6 citations
  3. 3Artificial intelligence-based apps for screening and diagnosing diabetic retinopathy and common ocular disorders2025 · 2 citations
  4. 4Artificial intelligence in proliferative diabetic retinopathy: advancing diagnosis, precision surgery, and anti-VEGF therapy optimization2025
  5. 5AI-Assisted Screening for Diabetic Retinopathy and Fundus Abnormalities in a Large-Scale Physical Examination Population2025 · 6 citations