Medtronic had one patents in cloud during Q1 2024. Medtronic Plc has developed a novel imaging discovery utility to enhance clinical image management. This system utilizes a non-relational data management system to access a database containing medical image files organized in an image-centric hierarchy. When a request for a medical image file is received, the system can efficiently search and retrieve the requested image from a relational database for transmission to the requesting device. GlobalData’s report on Medtronic gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Medtronic had no grants in cloud as a theme in Q1 2024.
Recent Patents
Application: Imaging discovery utility for augmenting clinical image management (Patent ID: US20240029865A1)
The patent filed by Medtronic Plc introduces novel tools and techniques for implementing an imaging discovery utility to enhance clinical image management. The method involves utilizing a non-relational ("NoSQL") data management system to access a database containing mirrored copies of medical image files stored in a relational ("SQL") database. The system autonomously mirrors changes in one database to the other, allowing for efficient retrieval and sending of medical images based on search terms provided by a requesting device. Additionally, the method includes customizable metadata tagging, dynamic modification of metadata tags, and the generation of 3D models based on retrieved medical image files.
Furthermore, the method involves receiving requests for medical image files, searching the database based on metadata tags, and identifying corresponding images stored in the SQL database. The retrieved images are then sent to the requesting device, which can be a variety of devices such as laptops, desktops, tablets, smartphones, or web clients. The system also provides a user interface for displaying search results, converting images into DICOM-compliant formats, and offering various task options for managing and manipulating the displayed medical images. Additionally, the method includes features like auto-segmentation, auto-measurements, and the generation of 3D models based on the retrieved medical image files, enhancing the utility and functionality of the imaging discovery system.
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