To answer this question, we leveraged a large-scale, diverse, cholecystectomy video dataset. We assessed surgical workflow recognition and report a deep learning system, that not only detects surgical phases, but does so with high accuracy and is able to generalize to new settings and unseen medical centers.
Our findings provide a solid foundation for translating AI applications from research to practice, ushering in a new era of surgical intelligence.