Published on in Vol 26 (2024)
This is a member publication of University of Toronto
![Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review](https://asset.jmir.pub/assets/88d90f933cfb0d2f730a4e854d72c292.png 480w,https://asset.jmir.pub/assets/88d90f933cfb0d2f730a4e854d72c292.png 960w,https://asset.jmir.pub/assets/88d90f933cfb0d2f730a4e854d72c292.png 1920w,https://asset.jmir.pub/assets/88d90f933cfb0d2f730a4e854d72c292.png 2500w)
1 Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada
2 Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
3 Population Health Research Institute, Hamilton, ON, Canada
4 SickKids Research Institute, Toronto, ON, Canada
5 Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
6 Division of Cardiology, McMaster University, Hamilton, ON, Canada