Koninklijke Philips had 11 patents in big data during Q1 2024. The patents filed by Koninklijke Philips NV in Q1 2024 include methods for predicting interpretation time for medical image examinations, systems for organizing clinical records based on outcomes, techniques for protecting client data in the cloud, and devices for assessing peripheral vascular disease using perfusion angiography and photoplethysmography imaging. Additionally, there is a system for detecting abnormalities in x-ray images using image classifiers and feature extractors. 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 big data 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: Cardiac image workflow interpretation time prediction (Patent ID: US20240105313A1)
The patent filed by Koninklijke Philips NV describes a method for predicting the interpretation time of medical image examinations using an artificial intelligence algorithm. The algorithm takes into account various data inputs related to the examination and the subject, such as body mass index, patient age, disease type, and imaging modality, to provide an accurate prediction of the interpretation time. The predicted interpretation time is then output to a clinical management system, allowing for efficient scheduling and allocation of resources based on the predicted times.
Additionally, the patent includes claims for a clinical management system and a computer program product that implement the method described. The system is designed to present the predicted interpretation times to users, along with confidence levels, and can assist in selecting combinations of examinations based on available time for interpretation. The computer program product includes program code for obtaining data inputs, inputting them into the AI algorithm, and providing the predicted interpretation time to the clinical management system. Overall, this patent aims to streamline the process of medical image interpretation by leveraging AI technology to predict interpretation times accurately and efficiently.
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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.
