The Surgeon’s Digital Eye: Assessing Artificial Intelligence–generated Images in Breast Augmentation and Reduction
The AI models showed similar performance, with some images accurately predicting postsurgical outcomes, particularly breast size and volume in a bra. Despite this promise, the absence of detailed nipple-areola complex visualization is a significant limitation. Until these features and consistent representations of various body types and skin tones are achievable, the authors advise using actual patient photographs for consultations.
Authors
- Anthony Colon
- Ashley Ignatiuk (ORCID: https://orcid.org/0000-0003-4074-6280)
- Arya Akhavan (ORCID: https://orcid.org/0000-0001-7119-9123)
- Soheyb Ayad (ORCID: https://orcid.org/0000-0002-6876-7254)
- Arsany Yassa (ORCID: https://orcid.org/0009-0009-1474-4346)
- Olivia Ayad (ORCID: https://orcid.org/0009-0005-6406-6433)
Institutions
- Ain Shams University (EG)
- British University in Egypt (EG)
- University of Reggio Calabria (IT)
Publication Details
- Journal
- Plastic & Reconstructive Surgery Global Open
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1097/gox.0000000000006295
- Citations
- 3
- Primary Topic
- Breast Implant and Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 1.72