Feasibility of real-time compression frequency and compression depth assessment in CPR using a “machine-learning” artificial intelligence tool

This feasibility study demonstrates the potential of open-source "machine-learning" tools in providing real-time feedback on V-CPR video sequences. In this pilot study, an open-source landmark detection AI software was able to assess CPR compression frequency with high agreement to actual frequency derived from the CPR manikin. For compression depth, its performance was not accurate, suggesting the need for adjustment. Since the software used is currently not intended for medical use, further development is necessary before the technology can be evaluated in real CPR.