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Blepharoplasty in the Artificial Intelligence Era
Makoto Shiraishi1, Mutsumi Okazaki1
1Department of Plastic and Reconstructive Surgery, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo 113-8655, Japan.
Abstract:
Blepharoplasty and related periorbital procedures sit at the interface of functional reconstruction, esthetic surgery, ophthalmology, facial plastic surgery, and oral and maxillofacial surgery. Because eyelid and periorbital changes can be captured in photographs, videos, and 3-dimensional imaging, artificial intelligence has growing relevance for objective measurement, screening, planning, outcome assessment, and patient education. Current evidence is promising but heterogeneous. Image-based computer vision and deep learning appear closest to clinical use, whereas large language and generative image models require careful oversight. This review summarizes practical applications and proposes a cautious implementation pathway.