Dynamic Eyelid Evaluation Using a Deep Neural Network in Upper Blepharoplasty: A Prospective Multicenter Pilot Study

Key Points

• Dynamic eyelid evaluation demonstrates improved analysis for upper blepharoplasty outcomes, enhancing surgical precision.
• Key metrics indicate a significant enhancement in eyelid function as assessed by a deep neural network.
• Prospective multicenter pilot study utilized advanced algorithms to analyze eyelid dynamics across various centers.
• These findings highlight the potential for deep learning techniques in optimizing surgical procedures, warranting further investigations.