Random Forests for Phase Detection in Surgical Workflow Analysis

Identifying and recognizing the workflow of surgical interventions is a field of growing interest. Several methods have been developed to identify intra-operative activities, detect common phases in the surgical workflow and combine the gained knowledge into Surgical Process Models. Numerous applications of this knowledge are conceivable, from semi-automatic report generation, teaching and objective surgeon evaluation to context-aware operating rooms and simulation of interventions to optimize the operating room layout.