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September 12, 2025Frontiers in MedicineOpen Access

Artificial intelligence in proliferative diabetic retinopathy: advancing diagnosis, precision surgery, and anti-VEGF therapy optimization

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Authors

GKGuangjie KeYFYongshui FuZHZehua Huang

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Overview

Review highlights artificial intelligence's potential to improve diagnosis and optimize anti-VEGF therapy in PDR, suggesting enhanced patient outcomes.

Key Points

  • AI has improved diagnostic accuracy and efficiency in diagnosing proliferative diabetic retinopathy, reducing blindness risk in affected patients.
  • Recent advances in AI include enhanced retinal image analysis and disease progression prediction, which aid clinical decision-making.
  • AI-based models show promise in optimizing anti-VEGF therapy, improving treatment outcomes while lowering healthcare costs.
  • Future research should address ethical integration challenges and promote collaboration among developers, clinicians, and regulatory bodies.

Cite This Study

Ke et al. (2025) studied this question.

synapsesocial.com/papers/68d41da8713b0b5dfea6700dhttps://doi.org/10.3389/fmed.2025.1644456
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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 the Diagnosis and Management of Diabetic Retinopathy2025 · 6 citations
  2. 2THE ROLE OF ARTIFICIAL INTELLIGENCE IN AUTOMATED DETECTION OF DIABETIC RETINOPATHY: CLINICAL AND PUBLIC HEALTH PERSPECTIVES2025
  3. 3Diabetic Retinopathy in Focus: Update on Treatment Advances, Pharmaceutical Approaches, and New Technologies2025
  4. 4Ten years later: how is AI impacting retina care today?2025 · 1 citations
  5. 5Artificial intelligence-based apps for screening and diagnosing diabetic retinopathy and common ocular disorders2025 · 2 citations