Actionable Real-Time Modeling of Surgical Team Dynamics via Time-Expanded Interaction Graphs

ArXi:2605.04169v1 Announce Type: new Surgical team performance arises from complex interactions between technical execution and non-technical skills, including communication and coordination dynamics. However, current surgical AI systems predominantly model visual workflow signals, lacking structured representations of intraoperative team interactions over time. We propose a real-time actionable approach for modeling surgical team dynamics using time-expanded interaction graphs, where team members are modeled as time-indexed nodes and communication exchanges define directed edges.