Use of Text-to-Image Artificial Intelligence Model in Preoperative Counseling for Lip-Lift Procedures

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.

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Publication Details

Journal
Plastic & Reconstructive Surgery
Published
2024-11-06
DOI
https://doi.org/10.1097/prs.0000000000011860
Citations
8
Primary Topic
Digital Imaging in Medicine
Type
article
Field-Weighted Citation Impact
4.34
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article

Use of Text-to-Image Artificial Intelligence Model in Preoperative Counseling for Lip-Lift Procedures

Allan E. Wulc, F. Yan, Ryan S. Huang, Michael Balas
8 citations
Plastic & Reconstructive Surgery
Digital Imaging in Medicine
4.34
article

Use of Text-to-Image Artificial Intelligence Model in Preoperative Counseling for Lip-Lift Procedures

Allan E. Wulc, F. Yan, Ryan S. Huang, Michael Balas
article en
8 citations

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.

Plastic & Reconstructive SurgeryVol. 156(1)
University of Toronto (CA), Drexel University (US)
Quality Education
Openalex Percentile: Top 5%
Digital Imaging in Medicine
4.34
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Use of Text-to-Image Artificial Intelligence Model in Preoperative Counseling for Lip-Lift Procedures — Allan E. Wulc, F. Yan, et al. · Plastic & Reconstructive Surgery (2024) | TGRS Research Map | TGRS