Using Artificial Intelligence-Enabled Digital Health Tools for Wound Management: A Scoping Review

The aim of this scoping review was to map the existing evidence on artificial intelligence-enabled digital health tools used for wound assessment and documentation, with a particular focus on their feasibility, sustainability, and integration into clinical practice. The review followed Joanna Briggs Institute methodology, and findings were reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guideline. Searches of MEDLINE, CINAHL, Embase, Scopus, and grey literature were undertaken. Following screening, 11 studies met the inclusion criteria. Artificial intelligence-enabled technologies supported automated wound measurement, wound imaging, digital documentation, longitudinal monitoring, and clinical decision support across a range of clinical settings. Validation studies demonstrated good agreement with conventional wound measurement methods, while implementation studies suggested these technologies were feasible across a range of clinical settings. However, evidence relating to long-term sustainability, interoperability with electronic health record systems, and routine implementation was limited. Overall, artificial intelligence-enabled wound assessment and documentation technologies are transitioning from technical innovation towards broader clinical application. Future research should prioritise longitudinal implementation studies examining sustainability, interoperability, and scalability to support successful integration into routine healthcare delivery.