Artificial intelligence-powered remote monitoring for lower extremity wound management: A randomized controlled trial protocol
This trial will determine whether AI-powered remote digital monitoring is feasible and acceptable as an alternative to standard in-person monitoring for the monitoring and management of patients with active lower extremity wounds.
Authors
- Christopher J. Abularrage (ORCID: https://orcid.org/0000-0002-9783-6909)
- Alana Keegan (ORCID: https://orcid.org/0000-0002-8145-3209)
- Elizabeth Selvin (ORCID: https://orcid.org/0000-0001-6923-7151)
- Caitlin W. Hicks (ORCID: https://orcid.org/0000-0001-7638-1936)
- Ronald L. Sherman
- Sanuja Bose (ORCID: https://orcid.org/0000-0002-7007-1459)
- Sherry Leung (ORCID: https://orcid.org/0000-0002-8785-8055)
- Midori White
- Yan‐Dong Wu
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- Sinai Hospital (US)
- Albany Medical Center Hospital (US)
Publication Details
- Journal
- JVS-Vascular Insights
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.jvsvi.2025.100279
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Heart, Lung, and Blood Institute
- National Institute of Diabetes and Digestive and Kidney Diseases