Observer-independent assessment of psoriasis-affected area using machine learning.

Journal: Journal of the European Academy of Dermatology and Venereology : JEADV
Published Date: Jan 23, 2020

Abstract

BACKGROUND: Assessment of psoriasis severity is strongly observer-dependent, and objective assessment tools are largely missing. The increasing number of patients receiving highly expensive therapies that are reimbursed only for moderate-to-severe psoriasis motivates the development of higher quality assessment tools.

Authors

  • N Meienberger
    Department of Dermatology, University Hospital Zurich, Zurich, Switzerland.
  • F Anzengruber
    Department of Dermatology, University Hospital Zurich, Zurich, Switzerland.
  • L Amruthalingam
    Department of Dermatology, University Hospital of Basel, Basel, Switzerland.
  • R Christen
    Lucerne University for Applied Sciences and Arts, Lucerne, Switzerland.
  • T Koller
    Comenius University, Faculty of Medicine, 5th department of Internal Medicine, University Hospital, Bratislava, Slovak republic.
  • J T Maul
    Department of Dermatology, University Hospital Zurich, Zurich, Switzerland.
  • M Pouly
    Lucerne University for Applied Sciences and Arts, Lucerne, Switzerland.
  • V Djamei
    Department of Dermatology, University Hospital Zurich, Zurich, Switzerland.
  • A A Navarini
    Department of Dermatology, University Hospital of Basel, Basel, Switzerland.

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