Siemens had 370 patents in artificial intelligence during Q1 2024. Siemens AG filed patents in Q1 2024 for systems and methods related to automatic vessel assessment using machine learning, refining object poses through pose estimation, optimizing reconstruction parameters for computer-aided diagnosis, emulating soft tissue response using artificial neural networks, and training local functions for multiple client systems using machine learning and encryption techniques. GlobalData’s report on Siemens gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Siemens grant share with artificial intelligence as a theme is 27% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Multi-task learning framework for fully automated assessment of coronary arteries in angiography images (Patent ID: US20240104719A1)
The patent by Siemens AG describes systems and methods for automatically assessing vessels using machine learning models trained with multi-task learning. The method involves receiving a temporal sequence of medical images of a vessel, generating sets of output embeddings based on shared features extracted from the images, performing vessel assessment tasks by modeling the embeddings in probabilistic distributions, and outputting the results. The tasks include localization of stenosis, image-based stenosis grading, and segment labeling and segmentation of stenosis. The apparatus and computer-readable medium described in the patent enable the implementation of these methods for vessel assessment.
Siemens AG's patent introduces a computer-implemented method and apparatus for vessel assessment using machine learning models and multi-task learning. By processing a temporal sequence of medical images, shared features are extracted and used to generate output embeddings for vessel assessment tasks. These tasks are modeled in probabilistic distributions, such as Gaussian processes, to output results that include localization of stenosis, stenosis grading, and segment labeling and segmentation. The patent also covers the implementation of these methods through an apparatus and non-transitory computer-readable medium, providing a comprehensive system for automated vessel assessment in medical imaging.
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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.
