Cataract is one of the most common eye disorders that causes vision distortion. Accurate
and timely detection of cataracts is the best way to control the risk and avoid blindness …

Artificial neural networks (ANN) are artificial intelligence (AI) techniques used in the
automated recognition and classification of pathological changes from clinical images in …

Oculoplastics is a sub-specialty of ophthalmology/dermatology concerned with eyelid, orbital
and lacrimal diseases. Artificial intelligence (AI), with its powerful ability to analyze large …

IMPORTANCE Identifying pediatric eye diseases at an early stage is a worldwide issue.
Traditional screening procedures depend on hospitals and ophthalmologists, which are …

Regular screening and timely treatment play a crucial role in addressing the progression
and visual impairment caused by cataracts, the leading cause of blindness in Thailand and …

Abstract Eyelid tumors accounts for 5–10% of skin tumors. It is important but difficult to
identify malignant eyelid tumors from benign lesions in a cost-effective way. Traditional …

Introduction: Myasthenia gravis (MG) is a rare autoimmune disease characterized by muscle
weakness and fatigue. Ptosis (eyelid drooping) occurs due to fatigue of the muscles for …

The aim of this study is to develop an AI model that accurately identifies referable
blepharoptosis automatically and to compare the AI model's performance to a group of non …

Blepharoptosis is a recognized cause of reversible vision loss and a non-specific indicator of
neurological issues, occasionally heralding life-threatening conditions. Currently, diagnosis …

Purpose To assess the performance of artificial intelligence in the automated classification of
images taken with a tablet device of patients with blepharoptosis and subjects with normal …