Olympus had three patents in robotics during Q4 2023. Olympus Corp filed patents for systems and methods for planning endoscopic tissue acquisition procedures using machine-learning models, as well as a surgery system that calculates and displays the position and orientation of a treatment target for resection. These innovations aim to improve the accuracy and efficiency of tissue acquisition and surgical procedures. GlobalData’s report on Olympus gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Olympus grant share with robotics as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Ai-based endoscopic tissue acquisition planning (Patent ID: US20230363621A1)

The patent filed by Olympus Corp. describes an endoscopic system that utilizes a steerable elongate instrument and a processor to plan tissue acquisition procedures. The system involves receiving patient information, applying it to a machine-learning model to generate a tissue acquisition plan, and presenting this plan to the user or facilitating a robot-assisted procedure. The system can recommend specific biopsy tools, operational parameters, and amounts of tissue to be collected based on the anatomical target's image and past procedure data.

The endoscopic system includes a user interface for presenting images and plans to the user, a controller for robotic navigation of the instrument and biopsy tool, and a training module to train the machine-learning model using past procedure data. The system can determine biopsy locations, recommend biopsy tools like brushes or snares, and estimate tissue malignancy in cases of anatomical strictures. By utilizing machine learning, the system can optimize tissue collection by determining operational parameters and navigation paths for the instrument and biopsy tool. Overall, the system aims to enhance the efficiency and accuracy of endoscopic tissue acquisition procedures through intelligent planning and guidance based on data-driven insights.

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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.