Taipei, Taiwan

Yi-Chung Shu

This inventor holds 1 USPTO granted patent. Top assignee: National Taiwan University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yi-Chung Shu. Retrieved from https://idiyas.com/inventor/yi-chung-shu-gxusqk1x

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Yi-Chung Shu: Advancing AI-Driven Ultrasound Detection

Introduction

Yi-Chung Shu is an inventor based in Taipei, Taiwan, associated with National Taiwan University. His patent work combines artificial intelligence and dynamic ultrasound imaging to support the detection of subacromial impingement.

Latest Patents

Shu is named on 1 patent: “Artificial Intelligence-Driven Dynamic Ultrasound System and Method for Detecting Subacromial Impingement.” The disclosed system combines dynamic ultrasound image acquisition with a Faster R-CNN module using a ResNet50 architecture and a one-dimensional convolutional neural network. A high-frequency linear transducer captures images near the acromioclavicular joint as the subject moves. The neural network processes the data and outputs a probability of subacromial impingement syndrome.

Career Highlights

The patent reflects an approach that brings medical imaging and machine learning together to assess a musculoskeletal condition. Its described system uses image analysis and neural-network processing to support detection.

Collaborations

Shu’s listed coworkers include Kai-Min Chang and Che-Yu Lin. His work is associated with National Taiwan University.

Conclusion

Yi-Chung Shu’s patent describes an AI-assisted ultrasound system designed to evaluate the likelihood of subacromial impingement, illustrating the application of machine learning to medical imaging.

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]
Loading…