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

Rose Raizman   1, 2 , NP, MN ;   José Luis Ramírez-GarciaLuna   3 , MD, PhD ;   Tanmoy Newaz   4 , BSc ;   Sheila C Wang   5, 6, 7 , MD, PhD ;   Gregory K Berry   3 , MD ;   Ling Yuan Kong   8, 9 , MD ;   Heba Tallah Mohammed   6 , MD, PhD ;   Robert D J Fraser   6, 10 , BScN, MN

1 Scarborough Health Network, Scarborough, ON, Canada

2 Lawrence S Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada

3 Department of Surgery, McGill University Health Centre, Montreal, QC, Canada

4 Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

5 Faculty of Medicine, University of Toronto, Toronto, ON, Canada

6 Swift Medical Inc, Toronto, ON, Canada

7 Department of Dermatology, Women's College Hospital, Toronto, ON, Canada

8 Faculty of Medicine, McGill University, Montreal, QC, Canada

9 Division of Infectious Diseases, Jewish General Hospital, Montreal, QC, Canada

10 Arthur Labatt Family School of Nursing, Western University, London, ON, Canada

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