Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses.

Journal: The British journal of dermatology
PMID: 39501748

Abstract

BACKGROUND: Skin cancer is the most common cancer worldwide. Early diagnosis is crucial to improving patient survival and morbidity. Artificial intelligence (AI)-assisted smartphone applications (apps) for skin cancer potentially offer accessible, early risk assessment of suspicious skin lesions. However, the integration of novel technologies into dermatology pathways raises ethical concerns. Although ethical principles for AI governance are well known, how these principles should be applied to real-life AI apps readily available for public use is less well understood.

Authors

  • Syed F H Shah
    Simona Tiribelli is with the Department of Political Sciences, Communication, and International Relations, University of Macerata, Macerata, Italy, and the Institute for Technology and Global Health, Cambridge, MA. Annabelle Monnot is with Polygeia, Global Health Think Tank, Cambridge, UK. Syed F. H. Shah and Anmol Arora are with the School of Clinical Medicine, University of Cambridge, Cambridge. Ping J. Toong is with the Department of Pathology, University of Cambridge. Sokanha Kong is with the Department of Medical Genetics, University of Cambridge.
  • Daniel Arecco
    Warwick Medical School, University of Warwick, Coventry, UK.
  • Heather Draper
    Health Science, Warwick Medical School, University of Warwick, Coventry, United Kingdom of Great Britain and Northern Ireland.
  • Simona Tiribelli
    Simona Tiribelli is with the Department of Political Sciences, Communication, and International Relations, University of Macerata, Macerata, Italy, and the Institute for Technology and Global Health, Cambridge, MA. Annabelle Monnot is with Polygeia, Global Health Think Tank, Cambridge, UK. Syed F. H. Shah and Anmol Arora are with the School of Clinical Medicine, University of Cambridge, Cambridge. Ping J. Toong is with the Department of Pathology, University of Cambridge. Sokanha Kong is with the Department of Medical Genetics, University of Cambridge.
  • Eli Harriss
    Bodleian Health Care Libraries, University of Oxford, Oxford, UK.
  • Rubeta N Matin
    Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.

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