Liu Yong

Assessment of angle closure disease in the age of artificial intelligence: A review.

However, more work is required to expand the capabilities of these AI algorithms and for deployment into real-world practice settings.

Deep learning-based normative database of anterior chamber dimensions for angle closure assessment: the Singapore Chinese Eye Study.

Anterior chamber parameters varied with age and gender. The ACD 20th and LV 85th percentile values may be used in silos or in combination to detect PACD in the absence of more sophisticated classification algorithms.

The Postoperative Hyperopic Shift Risk Prediction Model for Primary Angle Closure Glaucoma Patients Based on Machine Learning.

This study successfully developed a risk prediction model for HS after PE+IOL surgery in PACG patients based on various clinical features.