A Narrative Review: Opportunities and Challenges in Artificial Intelligence Skin Image Analyses Using Total Body Photography.

Journal: The Journal of investigative dermatology
Published Date: Jan 16, 2024

Abstract

Artificial intelligence (AI) algorithms for skin lesion classification have reported accuracy at par with and even outperformance of expert dermatologists in experimental settings. However, the majority of algorithms do not represent real-world clinical approach where skin phenotype and clinical background information are considered. We review the current state of AI for skin lesion classification and present opportunities and challenges when applied to total body photography (TBP). AI in TBP analysis presents opportunities for intrapatient assessment of skin phenotype and holistic risk assessment by incorporating patient-level metadata, although challenges exist for protecting patient privacy in algorithm development and improving explainable AI methods.

Authors

  • Clare A Primiero
    Dermatology Department, Hospital Clinic and Fundació Clínic per la Recerca Biomèdica - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Australia.
  • Gisele Gargantini Rezze
    Dermatology Department, Hospital Clinic and Fundació Clínic per la Recerca Biomèdica - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
  • Liam J Caffery
    Centre for Online Health, The University of Queensland, Brisbane, Australia.
  • Cristina Carrera
    Hospital Clínic de Barcelona, Universitat de Barcelona, Department of Dermatology, Barcelona, Spain.
  • Sebastian Podlipnik
    Department of Dermatology, Hospital Clinic of Barcelona, IDIBAPS, University of Barcelona, Ciber de Enfermedades Raras ISCIII, Barcelona, Spain.
  • Natalia Espinosa
    Dermatology Department, Hospital Clinic and Fundació Clínic per la Recerca Biomèdica - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
  • Susana Puig
    Melanoma Unit, Dermatology Department, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Rarasd (CIBER ER), Instituto de Salud Carlos III, Barcelona, Spain.
  • Monika Janda
    Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
  • H Peter Soyer
    Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, Australia.
  • Josep Malvehy
    Melanoma Unit, Dermatology Department, Hospital Clínic Barcelona, Universitat de Barcelona, IDIBAPS, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Rarasd (CIBER ER), Instituto de Salud Carlos III, Barcelona, Spain.

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