Koninklijke Philips had 210 patents in artificial intelligence during Q1 2024.The patents filed by Koninklijke Philips NV in Q1 2024 include systems and methods for denoising images, determining the orientation of imaging probes using 3D landmark models, predicting interpretation time for medical image examinations using AI algorithms, providing physiological condition estimations during live video sessions, and generating partially denoised images using convolutional neural networks. GlobalData’s report on Koninklijke Philips gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Koninklijke Philips grant share with artificial intelligence as a theme is 32% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Methods and systems for flexible denoising of images using disentangled feature representation field (Patent ID: US20240104700A1)

The patent by Koninklijke Philips NV describes a system and method for denoising medical images using machine learning. The system includes modules for generating standard and reduced quality anatomy and noise features from images, reconstructing images based on these features, and calculating loss metrics for tuning the modules. The system also involves a standard transfer image output when provided with reduced quality anatomy features, resulting in noise reduction.

The method involves similar steps as the system, including generating anatomy and noise features, reconstructing images, and calculating loss metrics for tuning the modules using machine learning. The method also includes the generation of a standard transfer image with reduced noise levels when provided with reduced quality anatomy features. The system and method aim to improve image quality through denoising techniques and involve training the modules simultaneously or sequentially to optimize performance.

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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.