Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review.

"Conflicts of Interest: JP declares research funding support from Roche Canada. PJD has received grants from Abbott Diagnostics, Siemens Canada, and Roche Diagnostics; received consulting fees from Abbott Laboratories, Renibus Therapeutics, Roche Diagnostics, and Trimedic Canada; received monitoring devices from CloudDX and Philips Healthcare; participated in advisory board meetings for Bayer AG; and is a member of the Data Safety Monitoring Board for the PEPPER (Comparative Effectiveness of Pulmonary Embolism Prevention After Hip and Knee Replacement) Study, New Hampshire. The other authors have no conflicts of interest to disclose."

"This study was funded through an award from the Hamilton Health Sciences Research Institute. The funders had no role in the collection, analysis, and interpretation of data; in the writing of this paper; and in the decision to submit this paper for publication. Conflicts of Interest: JP declares research funding support from Roche Canada. PJD has received grants from Abbott Diagnostics, Siemens Canada, and Roche Diagnostics; received consulting fees from Abbott Laboratories, Renibus Therapeutics, Roche Diagnostics, and Trimedic Canada; received monitoring devices from CloudDX and Philips Healthcare; participated in advisory board meetings for Bayer AG; and is a member of the Data Safety Monitoring Board for the PEPPER (Comparative Effectiveness of Pulmonary Embolism Prevention After Hip and Knee Replacement) Study, New Hampshire. The other authors have no conflicts of interest to disclose."