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

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.