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

Teledermatology (58) Demographics of Users, Social & Digital Divide (678) Telehealth and Telemonitoring (1557) mHealth for Telemedicine and Homecare (362)

Published on in Vol 4, No 1 (2021): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21555, first published .
Patient Factors Associated with Interest in Teledermatology: Cross-sectional Survey

Patient Factors Associated with Interest in Teledermatology: Cross-sectional Survey

Patient Factors Associated with Interest in Teledermatology: Cross-sectional Survey

Authors of this article:

Maham Ghani1 Author Orcid Image ;   Colin Adler2 Author Orcid Image ;   Howa Yeung2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Samimi S, Hahn L, Gudobba C, Mollanazar N, Akiyama K, Vittorio C, Leri D, Gitelman Y, O’Malley C, Merchant R, Asch D, Rosin R, Balachandran M, Khan N, Snider C, Lee K, Kovarik C. Teledermatology Transformed Through an Automated Previsit Engagement Strategy. NEJM Catalyst 2022;3(9) View
  2. Jagemann I, Wensing O, Stegemann M, Hirschfeld G. Acceptance of Medical Artificial Intelligence in Skin Cancer Screening: Choice-Based Conjoint Survey. JMIR Formative Research 2024;8:e46402 View