Company patents

SAMSUNG MEDISON CO., LTD.

SAMSUNG MEDISON CO. LTD. demonstrates a clear focus on Medical Diagnostics & Surgery, representing 93.5% of its portfolio, yet this core area has seen a significant decline of -42.5% so far in 2026. Surprisingly, despite its medical device specialization, the company shows a strong, albeit volatile, interest in Radar / Sonar / Lidar, which accounts for 25.2% of its patents and experienced a 100.0% growth in 2025 before a sharp decline of -66.7% so far in 2026, suggesting a dynamic and potentially shifting exploration of imaging technologies beyond traditional medical applications.

Patent Trend by Technology Area

Yearly patent publications since 2023

Product themes

Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.

155 US filings (since 2023) · 8 categories · 6 themes

Interventional & Implantable Therapies

Design and application of devices that are inserted into the body or implanted to treat diseases, modulate physiological functions, or repair anatomical structures.

Medical Diagnostics & Surgery
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79since 2023
+115.4%YoY
Surgical Imaging & Navigation

Systems and methods that use imaging technologies, computer vision, and augmented reality to provide real-time guidance, localization, and visualization during surgical procedures or for detailed anatomical assessment.

Medical Diagnostics & Surgery
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69since 2023
+38.9%YoY
Medical Device Ergonomics

Focuses on the design of medical equipment for ease of use, mobility, and adaptability in various clinical or home environments, including carts, mounting systems, and compact form factors.

Medical Diagnostics & Surgery
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16since 2023
-50.0%YoY
Automated Visual Inspection

Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.

Material & Chemical Analysis
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11since 2023
-25.0%YoY
AI for Medical Diagnostics

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Medical Diagnostics & SurgeryImage Processing
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3since 2023
0.0%YoY
Power Delivery & Battery Management

Techniques for efficiently supplying power to electronic devices, managing battery charge/discharge cycles, optimizing power consumption, and converting power between different voltage levels or AC/DC for improved energy efficiency and longevity.

Hardware Platform (Cooling, Power, Packaging)
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1since 2023
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Patents

Showing 1-10 of 273

Page 1 of 28
US 20260151110 A1APPLICATION
A61B8/00

ULTRASOUND IMAGING SYSTEM AND METHOD FOR CONTROLLING ULTRASOUND IMAGING SYSTEM

Filed:2025-10-29Pub:2026-06-04
Applicant:SAMSUNG MEDISON CO., LTD.

A control method of an ultrasound imaging system comprises: obtaining a cine image, which comprises a plurality of image frames, by aligning an elasticity image generated based on a shear wave tracking signal received from a probe on the same time stamp and an elasticity reliability image generated based on parameters obtained from the shear wave tracking signal from the probe, with an ultrasound image generated based on an echo signal received from the probe; determining an elastic modulus measurement suitability of each of the plurality of image frames based on elasticity image data and elasticity reliability image data of each of the plurality of image frames; automatically extracting a plurality of image frames for measuring an elastic modulus based on the elastic modulus measurement suitability; automatically determining a position of measurement region of interest (ROI) of each of the extracted image frames based on the elasticity image data and the elasticity reliability image data of each of the extracted plurality of image frames; and displaying one of the extracted plurality of image frames and simultaneously displaying at least one of a first indicator for indicating an elastic modulus measurement suitability of the displayed image frame, a second indicator for indicating an automatically determined position of measurement ROI of the displayed image frame, and a third indicator for indicating a sort order of the displayed image frame among the extracted plurality of image frames.