Knoedler, Leonard and Odenthal, Jan and Prantl, Lukas and Oezdemir, Berkin and Kehrer, Andreas and Kauke-Navarro, Martin and Matar, Dany Y. and Obed, Doha and Panayi, Adriana C. and Broer, P. Niclas and Chartier, Christian and Knoedler, Samuel (2023) Artificial intelligence-enabled simulation of gluteal augmentation: A helpful tool in preoperative outcome simulation? JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY, 80. pp. 94-101. ISSN 1748-6815, 1878-0539
Full text not available from this repository. (Request a copy)Abstract
Background: While the buttock region is considered an esthetic hallmark, the Brazilian butt lift (BBL) remains controversially discussed in the plastic surgery community. This is due to its contentious safety profile. Thus, informed consent and patient education play a key role in preoperative planning. To this end, we aimed to program an easy-to-use, widely ac- cessible, and low-budget algorithm that produces reliable outcome simulations.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | BRAZILIAN BUTT LIFT; CLASSIFICATION-SYSTEM; RECOMMENDATIONS; SURGERY; SAFETY; ASERF; Gluteal augmentation; Brazilian butt lifting; Autologous fat grafting; Artificial intelligence |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Zentren des Universitätsklinikums Regensburg > Zentrum für Plastische-, Hand- und Wiederherstellungschirurgie |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 31 Jan 2024 07:10 |
| Last Modified: | 31 Jan 2024 07:10 |
| URI: | https://pred.uni-regensburg.de/id/eprint/60593 |
Actions (login required)
 |
View Item |
