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February 1, 2026Journal of American Association for Pediatric Ophthalmology and Strabismus

Offline AI-assisted fundus imaging for preliminary screening of childhood glaucoma

Sirisha Senthil Divya Parthasarathy Rao Shreya R Bhandary Rashmi Krishnamurthy Kalpa Negiloni

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Key Points

AI-assisted fundus imaging enables efficient preliminary screening for glaucoma in pediatric populations, enhancing early detection.
The use of offline imaging technology improves accessibility for childhood glaucoma assessments in various settings.
Assessment was conducted using advanced AI algorithms to analyze fundus images for diagnostic accuracy between normal and glaucomatous conditions.
Results highlight the need for integrating AI tools into routine ophthalmic care to mitigate risks of late glaucoma diagnosis.

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Implication

Observational analysis reveals the potential of AI-assisted fundus imaging for glaucoma screening in children, indicating improved early detection.

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Cite This Study

Senthil et al. (2026) studied this question.

synapsesocial.com/papers/69a76732badf0bb9e87dff64 https://doi.org/10.1016/j.jaapos.2026.104755

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