Idexx Laboratories patented a method using machine learning to process x-ray images of patients, identifying anatomy, labeling images based on species, positioning them upright, and arranging in a specific order. The data file output includes labeled images in the predetermined order. GlobalData’s report on Idexx Laboratories gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Idexx Laboratories, was a key innovation area identified from patents. Idexx Laboratories's grant share as of February 2024 was 52%. Grant share is based on the ratio of number of grants to total number of patents.

Method for organizing x-ray images of patients

Source: United States Patent and Trademark Office (USPTO). Credit: Idexx Laboratories Inc

A recently granted patent (Publication Number: US11918401B2) outlines a method and system for efficiently processing and organizing x-ray images of patients. The method involves capturing a variety of x-ray images of different anatomies of a patient using an x-ray machine and utilizing a machine learning algorithm to identify the anatomy in each image. The identified anatomies are then labeled based on a preset scheme and arranged in a predetermined order according to the patient's species. The processed images are then outputted in a data file, positioned correctly, and labeled for easy reference.

Furthermore, the system includes functions such as determining the necessary x-ray images for patient examination, providing feedback on capturing additional anatomy, comparing images for procedure requirements, and analyzing exposure quality. The system also offers real-time feedback on missing x-rays, species identification, and exposure settings. By incorporating machine learning and preset labeling schemes, this method and system aim to streamline the processing and organization of x-ray images, ensuring accurate identification and efficient management of patient data for medical examinations and procedures.

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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.