What question did this study set out to answer?

To evaluate whether global artificial intelligence research in ophthalmology aligns with international blindness prevalence and specialist workforce distribution.

July 16, 2026NEJM AI

Will Artificial Intelligence Augment Global Health Inequalities?

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Authors

CCCharles R ClelandLondon School of Hygiene & Tropical Medicine KTKaki TsangNewcastle upon Tyne Hospitals NHS Foundation Trust ETElliott H TaylorUniversity of Liverpool

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Implication

Cross-sectional mapping reveals ophthalmic artificial intelligence research concentrates in regions with lower blindness and higher specialist density, suggesting risks of worsening global health...

Key Points

To evaluate whether global artificial intelligence research in ophthalmology aligns with international blindness prevalence and specialist workforce distribution.
Mapped the global geographic distribution of ophthalmology AI research output.
Compared AI research publication patterns against worldwide blindness prevalence and the distribution of ophthalmologists across countries.
Ophthalmic AI research is disproportionately concentrated in high-income countries characterized by low blindness burden and high specialist density.
Evidence generation is lacking in low- and middle-income regions where clinical need and workforce shortages are greatest, threatening to widen global health gaps.

Cite This Study

Cleland et al. (2026) studied this question.

synapsesocial.com/papers/6a79adb1e357fbdac58929f2 https://doi.org/10.1056/aics2600267

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Implication

Cross-sectional mapping reveals ophthalmic artificial intelligence research concentrates in regions with lower blindness and higher specialist density, suggesting risks of worsening global health...

Will Artificial Intelligence Augment Global Health Inequalities?

Discussion

Member takes

Implication

Key Points

Cite This Study

Will Artificial Intelligence Augment Global Health Inequalities?

Discussion

Member takes

Implication

Key Points

Cite This Study

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