Authors
Ryan S Huang, Michael Balas, Flora Yan, Allan E Wulc
Published in
Plastic and reconstructive surgery. Volume 156. Issue 1. Pages 47e-50e. Jul 01, 2025. Epub Nov 06, 2024.
Abstract
Text-to-image models powered by artificial intelligence offer a promising tool for enhancing patients' comprehension of cosmetic surgery outcomes and providing personalized visual forecasts of their appearance after the procedure. This study explores the efficacy of text-to-image AI models, specifically DALL·E2, in improving preoperative counseling for patients undergoing lip-lift procedures. Preoperative photographs of 4 patients, who had given their consent, were processed using DALL·E2, which allows users to modify specific areas of an image and input text descriptions to visualize anticipated changes. The authors successfully demonstrated the ability of DALL·E2 to generate accurate visual predictions within a short timeframe of 2 minutes. Selected images provided realistic expectations of the postoperative appearance, aiding in better patient understanding and expectation management.
PMID:
40561443
Bibliographic data and abstract were imported from PubMed on 26 Jun 2025.
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