Histologic Screening of Malignant Melanoma, Spitz, Dermal and Junctional Melanocytic Nevi Using a Deep Learning Model.

Journal: The American Journal of dermatopathology
Published Date: Sep 1, 2022

Abstract

OBJECTIVE: The integration of an artificial intelligence tool into pathologists' workflow may lead to a more accurate and timely diagnosis of melanocytic lesions, directly patient care. The objective of this study was to create and evaluate the performance of such a model in achieving clinical-grade diagnoses of Spitz nevi, dermal and junctional melanocytic nevi, and melanomas.

Authors

  • Alan N Snyder
    Department of Dermatology and Dermatologic Surgery, Medical University of South Carolina, Charleston, SC.
  • Dan Zhang
    School of Pharmacy, Southwest Medical University, Luzhou 646000, China.
  • Steffen L Dreesen
    Clemson University School of Computing, Clemson, SC.
  • Christopher A Baltimore
    College of Medicine, Medical University of South Carolina.
  • Dan R Lopez-Garcia
    Department of Pathology and Laboratory Medicine, Medical University of South Carolina.
  • Jake Y Akers
    Clemson AI Research Institute, University of California, Irvine, CA.
  • Christopher L Metts
    Department of Pathology and Laboratory Medicine, Medical University of South Carolina.
  • James E Madory
    Department of Pathology and Laboratory Medicine, Medical University of South Carolina.
  • Peter D Chang
    Department of Radiological Sciences and Center for Artificial Intelligence in Diagnostic Medicine, University of California Irvine, Orange, California.
  • Linda T Doan
    Irvine Department of Dermatology, University of California, Irvine, CA; and.
  • Dirk M Elston
    Department of Dermatology and Dermatologic Surgery, Medical University of South Carolina, Charleston, South Carolina. Electronic address: elstond@musc.edu.
  • Manuel A Valdebran
    Departments of Dermatology and Dermatologic Surgery, and.
  • Feng Luo
    State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Jessica A Forcucci
    Department of Pathology and Laboratory Medicine, Medical University of South Carolina.

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