Stryker had 26 patents in future of work during Q2 2024. Stryker Corp’s patents in Q2 2024 include methods for generating video surgical reports using machine learning, providing soft tissue release during joint arthroplasty, associating components of surgical instruments for navigation-assisted surgery, a patient transport apparatus with an inertial sensor for monitoring movement, and a patient support apparatus with a user module for monitoring patient conditions and displaying indicators. 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 had no grants in future of work as a theme in Q2 2024.

Recent Patents

Application: Video surgical report generation (Patent ID: US20240203552A1)

The patent filed by Stryker Corp. describes a method for generating a video surgical report using a machine learning pipeline. The process involves obtaining images of a surgical procedure, determining a set of images based on the procedure using machine learning models, and creating a video report with selected images. The machine learning pipeline automates the report generation process, saving time and resources typically required from a user like a surgeon or medical staff.

The method includes various aspects such as generating text descriptions for images, creating a virtual character to provide audio associated with images, and training machine learning models to analyze content depicted in images. The system can identify images based on preoperative information, detect objects within images, and generate content for the report based on received information. Additionally, the method involves processing audio captured during the procedure, extracting video snippets, and updating the report with additional images. By utilizing machine learning models, the system streamlines the creation of video surgical reports, enhancing efficiency and reducing the manual effort traditionally needed for such tasks.

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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.