Mannat Rana

Title: Mannat Rana and Surgical Tool Tracking Innovation.

Introduction

Mannat Rana is an inventor associated with Phoenix, Arizona, and Digital Surgery Systems, Inc. Her patent work focuses on using computer vision and image processing to track surgical instruments in microscope imagery.

Latest Patents

Rana is associated with 1 patent: “System, Method, and Apparatus for Tracking and Labeling Surgery Tools.” The invention uses a deep learning model to detect the distal ends of surgical tools in microscope images. It can display detections around those tool ends and uses Kalman filters and camera-motion compensation to predict the locations and sizes of bounding boxes. These processes run in parallel, with the prediction calculations operating more frequently than the deep learning model, helping update detections more often without substantially increasing computing workload.

Career Highlights

Rana’s documented patent contribution addresses a practical challenge in surgical image processing: maintaining timely, reliable tool detections as camera views change. The approach combines deep learning with motion estimation to support more frequent updates.

Collaborations

Rana is associated with Digital Surgery Systems, Inc. Her listed coworker is Kyle Kam; the available information does not specify their roles or the nature of their collaboration.

Conclusion

Mannat Rana’s patent describes a combined deep-learning and motion-compensation approach for tracking surgical tools, with the goal of improving detection updates while managing computing demands.