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

Patient and Public Involvement in Research (34) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1692) mHealth for Telemedicine and Homecare (513) Design and Usability of Medical Devices (137) Home Care (211) Design and Usability of Consumer Health Tech and Home Monitoring Devices (306) Artificial Intelligence (2029)

Published on in Vol 17 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69470, first published .
Empowering Patients and Caregivers to Use Artificial Intelligence and Computer Vision for Wound Monitoring: Nonrandomized, Single-Arm Feasibility Study

Empowering Patients and Caregivers to Use Artificial Intelligence and Computer Vision for Wound Monitoring: Nonrandomized, Single-Arm Feasibility Study

Empowering Patients and Caregivers to Use Artificial Intelligence and Computer Vision for Wound Monitoring: Nonrandomized, Single-Arm Feasibility Study

Authors of this article:

Rose Raizman1, 2 Author Orcid Image ;   José Luis Ramírez-GarciaLuna3 Author Orcid Image ;   Tanmoy Newaz4 Author Orcid Image ;   Sheila C Wang5, 6, 7 Author Orcid Image ;   Gregory K Berry3 Author Orcid Image ;   Ling Yuan Kong8, 9 Author Orcid Image ;   Heba Tallah Mohammed6 Author Orcid Image ;   Robert D J Fraser6, 10 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Grunhut J, Nagarsheth K. Artificial Intelligence for Postoperative Wound Monitoring: An Integrative Review of Digital Innovation and Clinical Feasibility. The American Surgeon™ 2025 View
  2. Sen C, DeMazumder D. Getting Started on Artificial Intelligence in Health Care and Clinical Research: Includes Rigor Checklist for Authors and Reviewers. Advances in Wound Care 2025 View