Artificial intelligence (ai)-enhanced detection of diabetic retinopathy from fundus images: the current landscape and future directions

HIGHLIGHTS

• What: As the field evolves, ongoing research aims to refine AI algorithms, validate their performance in real-world clinical settings, and develop best practices for their integration into ophthalmologic care. The study selection process involved comprehensive searches of databases like PubMed, Scopus, and Google Scholar, focusing on studies that evaluated the use of AI in DR screening. By synthesizing the latest research and developments in this field, the authors seek to provide insights into how AI can revolutionize DR screening and contribute to improved eye health outcomes globally. This approach has shown remarkable success in analyzing complex . . .
  

   

  

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