Cost-effectiveness analysis demonstrates improved screening access in populations with limited specialists, suggesting wider adoption of AI technology.
AI-assisted DR screening is a cost-effective approach that may enhance access, especially in regions with limited specialist availability. By enabling earlier detection and reducing reliance on ophthalmologists, AI-based screening has the potential to improve both efficiency and equity in healthcare delivery. These findings support its integration into national screening programs and emphasise the importance of local data in informing policy decisions.
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Wang et al. (2026) studied this question.
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