Validity of facial skin analysis pore detection: A comparative analysis.

Journal: Journal of cosmetic dermatology
PMID: 38822560

Abstract

BACKGROUND: Reliable, objective measures to assess facial characteristics would aid in the assessment of many dermatological treatments. Previous work utilized an iOS application-based artificial intelligence (AI) tool compared to the "gold standard" computer-based and a physician assessment on five skin metrics (British Journal of Dermatology, 2013, 169, 474). The AI tool had superior agreement for all skin metrics except pores and subsequently underwent an algorithm update for its pore detection system.

Authors

  • Hannah Y Gantz
    Center for Dermatology Research, Department of Dermatology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
  • Priscila Arellano Zameza
    Center for Dermatology Research, Department of Dermatology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
  • Mallory Zaino
    Center for Dermatology Research, Department of Dermatology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
  • Shirley P Parraga
    Center for Dermatology Research, Department of Dermatology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
  • Jessica Q Duong
    Center for Dermatology Research, Department of Dermatology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
  • Sarah L Taylor
    Center for Dermatology Research, Department of Dermatology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
  • Steven R Feldman
    Department of Dermatology, Center for Dermatology Research, Wake Forest School of Medicine, Winston-Salem, NC Department of Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, NC Department of Dermatology, University of Southern Denmark, Odense, Denmark Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC. sfeldman@wakehealth.edu.

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