公开(公告)号：US20250006372A1

公开(公告)日：2025-01-02

申请号：US18756906

申请日：2024-06-27

Applicant: Intuitive Surgical Operations, Inc.

Inventor： Conor Perreault ,  Aneeq Zia

IPC: G16H50/20 ,  G06V10/70 ,  G06V20/40

Abstract: The solution for an ML-based medical procedure analysis with interpretable model confidence rankings is disclosed. The solution can include a system having one or more processors, coupled with memory. The system can receive a plurality of input features associated with a prediction for a video stream that captures a procedure performed with a robotic medical system. The prediction can be made via a first model trained with machine learning. The system can determine, via a second model trained with machine learning, a level of confidence in the prediction made via the first model. The system can attribute the level of confidence among at least two input features of the plurality of input features. The system can provide, for display via a display device, an indication overlaid on the video stream of the attribution of the level of confidence among the at least two input features.