Empowering Patients and Caregivers to Use Artificial Intelligence and Computer Vision for Wound Monitoring: Nonrandomized, Single-Arm Feasibility Study
The Patient Connect app effectively engaged patients and caregivers in chronic wound care, demonstrating feasibility and promising clinical outcomes. By enabling secure, remote wound monitoring through AI technology, the app has the potential to improve patient adherence, enhance care accessibility, and optimize clinical workflows. Future studies should focus on evaluating its scalability, cost-effectiveness, and broader applicability in diverse health care settings.
Authors
- Heba Tallah Mohammed (ORCID: https://orcid.org/0000-0002-0848-8384)
- José L. Ramírez-GarcíaLuna (ORCID: https://orcid.org/0000-0002-3953-9762)
- Gregory K. Berry (ORCID: https://orcid.org/0000-0002-1745-7301)
- Sheila C. Wang (ORCID: https://orcid.org/0000-0001-8123-1713)
- Rose Raizman (ORCID: https://orcid.org/0000-0001-6854-9532)
- Robert D. Fraser (ORCID: https://orcid.org/0000-0003-2279-4203)
- Ling Yuan Kong (ORCID: https://orcid.org/0000-0003-1329-2164)
- Tanmoy Newaz (ORCID: https://orcid.org/0000-0002-6655-3121)
Institutions
- Western University (CA)
- University of Calgary (CA)
- University of Toronto (CA)
- Scarborough Health Network (CA)
- Muscular Dystrophy Canada (CA)
- McGill University Health Centre (CA)
- Women's College Hospital (CA)
- Jewish General Hospital (CA)
- McGill University (CA)
Publication Details
- Journal
- Journal of Participatory Medicine
- Published
- 2025-04-04
- DOI
- https://doi.org/10.2196/69470
- Citations
- 3
- Primary Topic
- Pressure Ulcer Prevention and Management
- Type
- article
- Field-Weighted Citation Impact
- 17.32