Predicting psoriasis severity using machine learning: a systematic review.

Journal: Clinical and experimental dermatology
PMID: 39172548

Abstract

BACKGROUND: In dermatology, the applications of machine learning (ML), an artificial intelligence (AI) subset that enables machines to learn from experience, have progressed past the diagnosis and classification of skin lesions. A lack of systematic reviews exists to explore the role of ML in predicting the severity of psoriasis.

Authors

  • Eric P McMullen
  • Yousif A Al Naser
    Medical Radiation Sciences, McMaster University, Hamilton, ON, Canada.
  • Mahan Maazi
    Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Rajan S Grewal
    Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
  • Dana Abdel Hafeez
    Divison of Neurosurgery, Department of Surgery, McMaster University, Hamilton, ON, Canada.
  • Tia R Folino
    Department of Biology, Queen's University, Kingston, ON, Canada.
  • Ronald B Vender
    Division of Dermatology, Department of Medicine, McMaster University, Hamilton, ON, Canada.

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