The evolution of diabetic retinopathy screening

Area of Science:

• Ophthalmology
• Medical Technology
• Public Health

Background:

• Diabetic retinopathy (DR) is a major cause of preventable blindness globally.
• Rising DR prevalence necessitates improved screening and management strategies.

Purpose of the Study:

• To review key advancements in diabetic retinopathy screening.
• To highlight the role of artificial intelligence in DR screening and eye care.

Main Methods:

• Review of recent developments in DR screening approaches.
• Analysis of the integration of telemedicine and AI in eye care.

Main Results:

• Shift towards generalist screening approaches and adoption of telemedicine for wider access.
• Artificial intelligence offers scalable and sustainable solutions for DR screening.
• AI has potential to transform eye health management beyond DR screening.

Conclusions:

• Advancements in screening, particularly AI, are crucial for managing the growing burden of diabetic retinopathy.
• AI integration promises to reshape DR screening, improve efficiency, and enhance global patient outcomes.
• Addressing current barriers is key to fully realizing AI's potential in eye care.