Tokyo, Japan

Yuya Imoto

This inventor holds 1 USPTO granted patent. Top assignee: Ai Medical Service Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yuya Imoto. Retrieved from https://idiyas.com/inventor/yuya-imoto-vqvbwol7

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Yuya Imoto and Endoscopic Examination Support

Introduction

Yuya Imoto is an inventor associated with Ai Medical Service Inc. in Tokyo, Japan. His patent work concerns image processing technology designed to support examinations using endoscopic systems.

Latest Patents

Imoto is named on 1 patent: “Examination support device, examination support method, and examination support program for sequentially acquiring image signal corresponding to display image.” The invention describes a device connected to an endoscope system, which sequentially acquires image signals and detects differences between successive frame images. It uses regions with changes at or above a reference amount to establish the image region corresponding to the camera’s captured image.

Career Highlights

The patent reflects Imoto’s work on technology for identifying relevant image regions in endoscopic video. By analyzing changes between frames, the system is designed to help distinguish the camera’s captured image within the signals provided by an endoscope system.

Collaborations

Imoto is associated with Ai Medical Service Inc. His coworker, Shinichi Fuchita, is also identified in the provided information.

Conclusion

Yuya Imoto’s patent focuses on processing sequential endoscopic image signals to establish captured-image regions, contributing to examination-support technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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