The Impact of Artificial Intelligence on Facial Aesthetic Surgery: A Systematic Review
Aurelia-Alexandra Colceriu, Petru-Iulian Ifteni, Liliana Rogozea, Florin-Gabriel Leașu, David Stuckler · 2026
Read The Impact of Artificial Intelligence on Facial Aesthetic Surgery: A Systematic Review by Aurelia-Alexandra Colceriu, Petru-Iulian Ifteni, Liliana Rogozea, Florin-Gabriel Leașu, David Stuckler (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13345743.txt.
Description
Aurelia-Alexandra Colceriu and co-authors review artificial intelligence in facial cosmetic surgery in 2026. Millions of aesthetic operations a year push surgeons toward smarter planning and judgment tools. The team searched two databases under PRISMA 2020 rules for studies using AI anywhere along the care path.
Of 1,832 records, 29 studies qualified, mostly from Asia and the United States and mostly testing or building tools rather than running interventions. Convolutional neural networks dominated, usually commercial ones, with strongest use in facelifts, nose surgery, and eyelid work for planning and outcome grading. The authors call for standard reporting, refreshed regulation, and training that lets surgeons co-design the models they will use.
Catalog record
| CREATOR | Aurelia-Alexandra Colceriu, Petru-Iulian Ifteni, Liliana Rogozea, Florin-Gabriel Leașu, David Stuckler |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39848 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |