Beijing, China

Jingting Li

This inventor holds 1 USPTO granted patent and 5 published patent applications. Top assignee: Ge Precision Healthcare LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jingting Li. Retrieved from https://idiyas.com/inventor/jingting-li-6r6nlrfc

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jingting Li: Medical Imaging Innovation

Introduction

Jingting Li is an inventor based in Beijing, China, whose patent work concerns medical image processing. His disclosed invention addresses how predicted medical section images and related scanning parameters can be presented during an imaging workflow.

Latest Patents

Li is associated with 1 patent, titled “Medical Image Processing Method, Apparatus, and System.” The invention describes acquiring a scout image of a subject, identifying a predicted section image for a region of interest using a preset correspondence between scout images and section images, and displaying updated predicted images and their corresponding scanning parameters in real time.

Career Highlights

Li’s listed company affiliation is GE Precision Healthcare LLC. The available information highlights his contribution to a patent focused on supporting medical imaging through real-time image prediction and display.

Collaborations

The listed collaborators are Bingjie Zhao and Xueli Wang. Their names are associated with the patent work described above.

Conclusion

Jingting Li’s patent reflects an effort to improve medical image processing by connecting scout images with predicted section images and presenting updated imaging guidance in real time.

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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