Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
July 21, 2025Journal of Clinical MedicineOpen Access

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

View Full Paper
Ask AI
Bookmark
Share

Authors

AAA AnsariNANabiha Midhat AnsariUKUsman Khalid

Discussion

Loading...

Member takes

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
View Full Paper
Ask AI
Bookmark
Share

Also Consider

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

  1. 1Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images2024 · 38 citations
  2. 2Diabetic Retinopathy–An Underdiagnosed and Undertreated Inflammatory, Neuro-Vascular Complication of Diabetes2019 · 130 citations
  3. 3Diagnosing Diabetic Retinopathy With Artificial Intelligence: What Information Should Be Included to Ensure Ethical Informed Consent?2021 · 31 citations
  4. 4Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial2024 · 117 citations
  5. 5Artificial Intelligence for Diabetic Retinopathy Screening Using Color Retinal Photographs: From Development to Deployment2023 · 80 citations