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

Skin Cancer and Melanoma Prevention (169) Mobile Health (mhealth) (5272) mHealth for Wellness, Behavior Change and Prevention (4310) Focus Groups and Qualitative Research for Human Factors Research (1591) Innovations and Technology for Cancer Prevention and Screening (274) Mobile Apps for Cancer Care and Cancer Prevention and Screening (324)

Published on in Vol 4, No 2 (2021): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22583, first published .
Woman uses smartphone to scan plant identification app on arm

Patients’ Experiences of Using Skin Self-monitoring Apps With People at Higher Risk of Melanoma: Qualitative Study

Patients’ Experiences of Using Skin Self-monitoring Apps With People at Higher Risk of Melanoma: Qualitative Study

Authors of this article:

Emily Habgood1 Author Orcid Image ;   Christopher McCormack2 Author Orcid Image ;   Fiona M Walter1, 3, 4 Author Orcid Image ;   Jon D Emery1, 3 Author Orcid Image
Article Authors Cited by (6) Tweetations (5) Metrics

Journals

  1. Shah S, Arecco D, Draper H, Tiribelli S, Harriss E, Matin R. Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses. British Journal of Dermatology 2025;192(3):520 View
  2. Caro R, Orlova V, Meo N, Zalaudek I. Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2026;24(1):44 View
  3. Caro R, Orlova V, Meo N, Zalaudek I. Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2026;24(1):44 View
  4. Abdalla H, Joyce J, Hussain N, Janda M. Do Digital Visual Aids Improve Skin Self-Examination Behaviours? A Systematic Review. Health Education & Behavior 2026 View
  5. Li Z, Chen K, Ji Y, Wu H, Lu Q. Up-to-Date Progress, Future Challenges and Future of Artificial Intelligence in Dermatology: From Diagnosis, Drug Discovery and Clinical Pathway. Skin 2026:1 View
  6. Kovtun L. DIGITAL MONITORING OF ULTRAVIOLET EXPOSURE AS PART OF SKIN CANCER PREVENTION. Environment & Health 2026;(3 (120)):121 View