Stryker had 20 patents in robotics during Q1 2024. Stryker Corp’s patents filed in Q1 2024 focus on surgical systems and methods involving tracking bone positions, planning implant orientations, and monitoring surgical tools using computer systems and robotics. The inventions include a system for tracking bone shape and volume during resection, a robotic system with error detection capabilities, a navigation system for monitoring surgical tool movement and making adjustments, and a sterile drape assembly for a surgical robot with optical tracking elements. GlobalData’s report on Stryker gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Stryker grant share with robotics as a theme is 55% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Surgical system with automated implant planning (Patent ID: US20240081913A1)

The patent filed by Stryker Corp describes a surgical system that includes a tracking system to track bone positions in a joint, a user interface for inputting post-operative values, and a computer to generate a planned orientation for an implant based on bone positions and post-operative values. The system also generates a surgical plan based on the planned orientation. The system can further involve a robot to execute bone resection based on the surgical plan, preparing the bone for implantation.

The method outlined in the patent involves tracking bone positions in a joint, generating a planned orientation for an implant based on bone positions and user input post-operative values, and guiding bone resection based on the planned orientation. The method can include executing an auto-planning algorithm, handling tradeoffs between different post-operative values, and minimizing error values associated with these values. The method also includes determining target locations for implant models and utilizing a graphical user interface for user interaction.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.