Accessibility settings

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

Image Recognition and AI in Dermatology (30) Focus Groups and Qualitative Research for Human Factors Research (1501) Teledermatology (117) Artificial Intelligence (4530) Dermatology Health Services Research (89) Dermatology (88)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44913, first published .
3D body scanning with a patient and technician in front of a monitor

Experiences Regarding Use and Implementation of Artificial Intelligence–Supported Follow-Up of Atypical Moles at a Dermatological Outpatient Clinic: Qualitative Study

Experiences Regarding Use and Implementation of Artificial Intelligence–Supported Follow-Up of Atypical Moles at a Dermatological Outpatient Clinic: Qualitative Study

Authors of this article:

Elisabeth Rygvold Haugsten1, 2 Author Orcid Image ;   Tine Vestergaard1 Author Orcid Image ;   Bettina Trettin1, 2 Author Orcid Image
Article Authors Cited by (5) Tweetations (3) Metrics

Journals

  1. Hua D, Petrina N, Young N, Cho J, Poon S. Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review. Artificial Intelligence in Medicine 2024;147:102698 View
  2. Nahm W, Sohail N, Burshtein J, Goldust M, Tsoukas M. Artificial Intelligence in Dermatology: A Comprehensive Review of Approved Applications, Clinical Implementation, and Future Directions. International Journal of Dermatology 2025;64(9):1568 View
  3. Pallamala G, Jenkins J, Sherin P, Nyathi A, George J. Healthcare professionals’ perspectives on artificial intelligence in clinical practice: a systematic review of facilitators and challenges. Oxford Open Digital Health 2026;4 View
  4. Scott A, Zhao Q, Pan J, Brown B, Dowding D. Nurses’ Experiences Using AI in Clinical Practice: Systematic Review. JMIR Nursing 2026;9:e91238 View

Books/Policy Documents

  1. Mukherjee T, Mukherjee A. Design and Forecasting Models for Disease Management. View