Visualization of Breast Reconstruction Outcomes Using an Artificial Intelligence-Enabled Simulator
This study demonstrates the feasibility of an AI-based model trained on real-world clinical photographs to simulate breast reconstruction outcomes. These findings support further exploration of AI-based models for personalized surgical simulation in breast reconstruction and their integration into clinical care.
Authors
- Christian Chartier (ORCID: https://orcid.org/0000-0003-2668-2874)
- Carrie Scharf Stern
- Ariel Gabay
- Francis D. Graziano (ORCID: https://orcid.org/0000-0002-4746-1803)
- Mackenzie Riggs
- Jonlin Chen
- Jonas A. Nelson (ORCID: https://orcid.org/0000-0003-0329-4422)
- Babak J. Mehrara (ORCID: https://orcid.org/0000-0001-5717-697X)
- Luca S Black
- Ayana K. Cole-Price
- Jennifer Wang
- Jenny Chen
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- McGill University (CA)
Publication Details
- Journal
- Plastic & Reconstructive Surgery
- Published
- 2026-02-26
- DOI
- https://doi.org/10.1097/prs.0000000000012987
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00