Why the study?
Surgical workflow and skill analysis are promising technologies to support the surgical team, but there is still room for improvement in machine learning algorithms.
The HeiChole benchmark provides a novel tool for the comparative evaluation and validation of machine learning algorithms in surgical workflow and skill analysis.
Current ML algorithms need refinement before surgical workflow use; HeiChole benchmark leaves open clinical translation.
Surgical workflow and skill analysis are promising technologies to support the surgical team, but there is still room for improvement, as shown by our comparison of machine learning algorithms. This novel HeiChole benchmark can be used for comparable evaluation and validation of future work. In future studies, it is of utmost importance to create more open, high-quality datasets in order to allow the development of artificial intelligence and cognitive robotics in surgery.
No takes yet. Share an insight, caveat, or question.
Wagner et al. (2023) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: