What question did this study set out to answer?

This research aims to evaluate the consequences of delayed diabetic retinopathy management and the impact of AI-driven screening tools.

February 9, 2026Ophthalmology and Therapy2 citationsOpen Access

The Burden of Delayed Diabetic Retinopathy Management and Use of Artificial Intelligence-Driven Screening Tools: A Systematic Literature Review

FRFiras M. RahhalRetina Vitreous Associates Medical Group JZJun ZhangBoehringer Ingelheim (France)MMMunia MukherjeeBoehringer Ingelheim (United States)

Key Points

This research aims to evaluate the consequences of delayed diabetic retinopathy management and the impact of AI-driven screening tools.
Conducted a systematic literature review
Analyzed various studies on diabetic retinopathy management
Evaluated the effectiveness of artificial intelligence-based screening tools
Delayed diagnosis and treatment significantly harm patients with diabetic retinopathy.
AI-driven tools can enhance clinical outcomes and streamline healthcare costs.
Implementation of AI screening may offer economic benefits for healthcare systems.

Abstract

This research underscored the considerable harms associated with delayed DR diagnosis and treatment. AI-based screening tools have the potential to become powerful instruments in supporting improved clinical outcomes for patients and economic benefits for healthcare systems.

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