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

Journal: Annals of plastic surgery
PMID:

Abstract

PURPOSE: A major concern for patients undergoing facial transplantation relates to postoperative appearance. This study leverages artificial intelligence (AI) visual analysis software to provide an objective assessment of perceived age and degree of resemblance to the donor.

Authors

  • Sam Boroumand
    From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
  • Emily Gu
    From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
  • Omar Allam
    Division of Plastic Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, United States.
  • Aliyar Zahedi Vafa
    From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
  • Lioba Huelsboemer
    From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
  • Viola A Stögner
  • Samuel Knoedler
    Division of Plastic Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, United States.
  • Leonard Knoedler
    Department of Plastic, Hand- and Reconstructive Surgery, University Hospital Regensburg, Regensburg, Germany.
  • Felix J Klimitz
    From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
  • Martin Kauke-Navarro
    Division of Plastic Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, United States.
  • Siba Haykal
    From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Yale School of Medicine, New Haven, CT.
  • Bohdan Pomahac
    Division of Plastic Surgery, Department of Surgery, Yale New Haven Hospital, Yale School of Medicine, New Haven, CT, United States.