Leveraging Artificial Intelligence to Assess Perceived Age and Donor Facial Resemblance After Face Transplantation

Although patients more closely resembled their donor's resemblance posttransplantation, their perceived age correlated more significantly with their actual age than their donor allograft age. The findings of this study provide a helpful framework for counseling prospective patients on their expected appearance postoperatively.

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Publication Details

Journal
Annals of Plastic Surgery
Published
2025-03-23
DOI
https://doi.org/10.1097/sap.0000000000004334
Citations
4
Primary Topic
Organ and Tissue Transplantation Research
Type
article
Field-Weighted Citation Impact
7.94
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article

Leveraging Artificial Intelligence to Assess Perceived Age and Donor Facial Resemblance After Face Transplantation

Viola A. Stögner, Leonard Knoedler, Bohdan Pomahač, Sam Boroumand et al.
4 citations
Annals of Plastic Surgery
Organ and Tissue Transplantation Research
7.94
article

Leveraging Artificial Intelligence to Assess Perceived Age and Donor Facial Resemblance After Face Transplantation

Viola A. Stögner, Leonard Knoedler, Bohdan Pomahač, Sam Boroumand, Martin Kauke‐Navarro, Omar Allam, Lioba Huelsboemer, Siba Haykal, Samuel A. Knoedler, Felix J Klimitz, Emily Gu, Aliyar Zahedi Vafa
article en
4 citations

Abstract

Although patients more closely resembled their donor's resemblance posttransplantation, their perceived age correlated more significantly with their actual age than their donor allograft age. The findings of this study provide a helpful framework for counseling prospective patients on their expected appearance postoperatively.

Annals of Plastic SurgeryVol. 94(4)
Yale University (US), Medizinische Hochschule Hannover (DE)
Good health and well-being
Openalex Percentile: Top 3%
Organ and Tissue Transplantation Research
7.94
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