Exploring the Views of Dermatologists, General Practitioners, and Melanographers on the Use of AI Tools in the Context of Good Decision-Making When Detecting Melanoma: Qualitative Interview Study.

Journal: JMIR dermatology
PMID: 40127437

Abstract

BACKGROUND: Evidence that artificial intelligence (AI) may improve melanoma detection has led to calls for increased human-AI collaboration in clinical workflows. However, AI-based support may entail a wide range of specific functions for AI. To appropriately integrate AI into decision-making processes, it is crucial to understand the precise role that clinicians see AI playing within their clinical deliberations.

Authors

  • Brad Partridge
    Centre for Health Services Research, University of Queensland, Brisbane, Australia.
  • Nicole Gillespie
    Melbourne Business School, University of Melbourne, Melbourne, Australia.
  • H Peter Soyer
    Dermatology Research Centre, The University of Queensland, The University of Queensland Diamantina Institute, Brisbane, Australia.
  • Victoria Mar
    Victorian Melanoma Service, Alfred Hospital, Melbourne, Victoria, Australia.
  • Monika Janda
    Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.

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