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Artificial intelligence-enabled simulation of gluteal augmentation: a helpful tool in preoperative outcome simulation?

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 plan...

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Hauptverfasser: Knoedler, Leonard (VerfasserIn) , Odenthal, Jan (VerfasserIn) , Prantl, Lukas (VerfasserIn) , Özdemir, Berkin (VerfasserIn) , Kehrer, Andreas (VerfasserIn) , Kauke-Navarro, Martin (VerfasserIn) , Matar, Dany Y. (VerfasserIn) , Obed, Doha (VerfasserIn) , Panayi, Adriana C. (VerfasserIn) , Broer, P. Niclas (VerfasserIn) , Chartier, Christian (VerfasserIn) , Knoedler, Samuel (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: May 2023
In: Journal of plastic, reconstructive & aesthetic surgery
Year: 2023, Jahrgang: 80, Pages: 94-101
ISSN:1878-0539
DOI:10.1016/j.bjps.2023.01.039
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.bjps.2023.01.039
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S1748681523000530
Volltext
Verfasserangaben:Leonard Knoedler, Jan Odenthal, Lukas Prantl, Berkin Oezdemir, Andreas Kehrer, Martin Kauke-Navarro, Dany Y. Matar, Doha Obed, Adriana C. Panayi, P. Niclas Broer, Christian Chartier, Samuel Knoedler
Beschreibung
Zusammenfassung: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 accessible, and low-budget algorithm that produces reliable outcome simulations. - Methods - The conditional generative adversarial network (GAN) was trained using pre- and postoperative images from 1628 BBL patients. To validate outcome simulation, 25 GAN-generated images were assessed deploying 67 Amazon Mechanical Turk Workers (Mturks). - Results - Mturks could not differentiate between GAN-generated and real patient images in approximately 49.4% of all trials. - Conclusion - This study presents a free-to-use, widely accessible, and reliable algorithm to visualize potential surgical outcomes that could potentially be applied in other fields of plastic surgery.
Beschreibung:Online verfügbar: 9. Februar 2023, Artikelversion: 30. März 2023
Gesehen am 23.08.2023
Beschreibung:Online Resource
ISSN:1878-0539
DOI:10.1016/j.bjps.2023.01.039

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