Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.

Journal: Journal of medical Internet research
Published Date: Sep 11, 2020

Abstract

BACKGROUND: Early detection of melanoma can be lifesaving but this remains a challenge. Recent diagnostic studies have revealed the superiority of artificial intelligence (AI) in classifying dermoscopic images of melanoma and nevi, concluding that these algorithms should assist a dermatologist's diagnoses.

Authors

  • Roman C Maron
    National Center for Tumor Diseases, German Cancer Research Center, Heidelberg, Germany.
  • Jochen S Utikal
    Department of Dermatology, Heidelberg University, Mannheim, Germany; Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Achim Hekler
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.
  • Axel Hauschild
    Department of Dermatology, University Hospital Kiel, Kiel, Germany.
  • Elke Sattler
    Department of Dermatology, University Hospital Munich (LMU), Munich, Germany.
  • Wiebke Sondermann
    Department of Dermatology, University Hospital Essen, Essen, Germany.
  • Sebastian Haferkamp
    Department of Dermatology, University Hospital Regensburg, Regensburg, Germany.
  • Bastian Schilling
    Department of Dermatology, University Hospital Wuerzburg, Wuerzburg, Germany.
  • Markus V Heppt
    Department of Dermatology, University Hospital Erlangen, University of Erlangen, Erlangen, Germany.
  • Philipp Jansen
    Department of Dermatology, University Hospital Essen, Essen, Germany.
  • Markus Reinholz
    Department of Dermatology, University Hospital Munich (LMU), Munich, Germany.
  • Cindy Franklin
    Department of Dermatology, University Hospital Cologne, Cologne, Germany.
  • Laurenz Schmitt
    Department of Dermatology, University Hospital Aachen, Aachen, Germany.
  • Daniela Hartmann
    Department of Dermatology, University Hospital Munich (LMU), Munich, Germany.
  • Eva Krieghoff-Henning
    Digital Biomarkers for Oncology Group (DBO), National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Max Schmitt
    National Center for Tumor Diseases, German Cancer Research Center, Heidelberg, Germany.
  • Michael Weichenthal
    Department of Dermatology, University Hospital Kiel, Kiel, Germany.
  • Christof von Kalle
    National Center for Tumor Diseases, Department of Translational Oncology, German Cancer Research Center, Heidelberg, Germany.
  • Stefan Fröhling
    National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
  • Titus J Brinker
    National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.

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