AI-enhanced “Two-thirds Guidelines” for Lipolifting: Addressing Multiple Hallmarks of Facial Aging

The two-thirds guidelines offer a comprehensive approach to facial rejuvenation, addressing volume loss, ligament weakening, and skin quality. They are applicable in early aging stages, promising enduring and natural outcomes while mitigating effects of weight fluctuations. These guidelines provide a safe, replicable, and adaptable approach to facial fat grafting, either standalone or in combination with facelift techniques, with minimized overfilling risks. A dataset obtained from 2800 patients serves as the foundation for developing an AI program tailored to aid doctors in diagnosing and treating similar cases.

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Publication Details

Journal
Plastic & Reconstructive Surgery Global Open
Published
2024-08-01
DOI
https://doi.org/10.1097/gox.0000000000006060
Citations
2
Primary Topic
Facial Rejuvenation and Surgery Techniques
Type
article
Field-Weighted Citation Impact
1.07
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article

AI-enhanced “Two-thirds Guidelines” for Lipolifting: Addressing Multiple Hallmarks of Facial Aging

K. Tunc Tiryaki, Pietro Gentile, Serli Canikyan, Katarina Andjelkov et al.
2 citations
Plastic & Reconstructive Surgery Global Open
Facial Rejuvenation and Surgery Techniques
1.07
article

AI-enhanced “Two-thirds Guidelines” for Lipolifting: Addressing Multiple Hallmarks of Facial Aging

K. Tunc Tiryaki, Pietro Gentile, Serli Canikyan, Katarina Andjelkov, Yaren Kul, Steven R. Cohen, Aris Sterodimas, Ceren Duyan, Jack Woods, Eva Siolo, Kai-Uwe Schlaudraff
article en
2 citations

Abstract

The two-thirds guidelines offer a comprehensive approach to facial rejuvenation, addressing volume loss, ligament weakening, and skin quality. They are applicable in early aging stages, promising enduring and natural outcomes while mitigating effects of weight fluctuations. These guidelines provide a safe, replicable, and adaptable approach to facial fat grafting, either standalone or in combination with facelift techniques, with minimized overfilling risks. A dataset obtained from 2800 patients serves as the foundation for developing an AI program tailored to aid doctors in diagnosing and treating similar cases.

Plastic & Reconstructive Surgery Global OpenVol. 12(8)
Yeditepe University (TR), University of Rome Tor Vergata (IT), University of Belgrade (RS), Yıldız Technical University (TR), Metropolitan Hospital (GR)
Openalex Percentile: Top 21%
Facial Rejuvenation and Surgery Techniques
1.07
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AI-enhanced “Two-thirds Guidelines” for Lipolifting: Addressing Multiple Hallmarks of Facial Aging — K. Tunc Tiryaki, Pietro Gentile, et al. · Plastic & Reconstructive Surgery Global Open (2024) | TGRS Research Map | TGRS