Deep Learning-based Assessment of Eyelid and Periorbital Parameters: Assisting Diagnosis and Treatment Planning in Blepharoptosis

Key Points

• Improved diagnosis is achieved through enhanced image analysis and deep learning techniques.
• A significant correlation is found between deep learning metrics and clinical outcomes in blepharoptosis.
• Observational analysis utilizing deep learning algorithms for eyelid parameters enhances treatment planning.
• These findings highlight the potential of advanced computational methods in clinical settings for eyelid disorders.