This paper is in the following e-collection/theme issue:

Innovations in Cancer Diagnostic and Decision Support (114) Innovations and Technology for Cancer Prevention and Screening (204) Clinical Information and Decision Making (1963) Skin Cancer and Melanoma Prevention (126) Artificial Intelligence (2204) Focus Groups and Qualitative Research for Human Factors Research (1252) Machine Learning (2137) Image Recognition and AI in Dermatology (21) Machine Learning from Digital Images in Dermatology (17)

Published on in Vol 11 (2025)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60653, first published .
User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study

User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study

User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study

Authors of this article:

Owain Tudor Jones1 Author Orcid Image ;   Natalia Calanzani2 Author Orcid Image ;   Suzanne E Scott3 Author Orcid Image ;   Rubeta N Matin4 Author Orcid Image ;   Jon Emery3, 5 Author Orcid Image ;   Fiona M Walter3, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Özyurt F, Koç C, Özdemir E. Segment-Aware Contrastive Representation Learning With Vision Transformers: TransCon-Skin. IEEE Access 2026;14:763 View
  2. Sani H, Mobaraki M, Sholibor A, Fallah S, Abdi F, Hasannezhad M, Jandaghian-Bidgoli M. Adoption of artificial intelligence in primary health care: systematic synthesis of stakeholder perspectives. BMC Primary Care 2026 View