Stryker had 31 patents in artificial intelligence during Q2 2024. Stryker Corp’s patents in Q2 2024 focus on improving medical workflows, controlling light sources to avoid distractions during procedures, processing and displaying medical imaging data efficiently, enhancing medical images using machine learning, and generating medical reports with auto-generated content and images selected based on criteria. 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 artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Systems and methods for evaluating a medical workflow (Patent ID: US20240207626A1)
The patent filed by Stryker Corp. describes methods, systems, and programming for evaluating medical workflows by receiving images of a medical environment and workflow, determining contextual information, identifying stages of the workflow, presenting medical content to staff, and utilizing machine learning models for analysis. The system aims to improve efficiency by providing relevant information to medical staff at different stages of the workflow, generating reports, and updating content based on activities detected in the images.
The method outlined in the patent involves receiving images of the medical environment and workflow, determining contextual information, identifying stages of the workflow, presenting medical content to staff, and utilizing machine learning models for analysis. By incorporating machine learning models, the system can detect activities of medical staff, generate efficiency scores, update content based on activities, and provide notifications to staff regarding task completion. Overall, the patent focuses on enhancing medical workflow evaluation through image analysis, contextual information processing, and targeted content presentation to improve efficiency and communication within medical environments.
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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.
