Half Moon Bay, CA, United States of America

David Seungwon Paik

This inventor holds 34 USPTO granted patents and 4 published patent applications, primarily in Quantitative Imaging. Top assignees: Elucid Bioimaging Inc., Leland Stanford Junior University, Sirona Medical, Inc.. Active years: 1997-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Seungwon Paik. Retrieved from https://idiyas.com/inventor/david-seungwon-paik

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

USPTO Granted Patents = 34 

% Patents Active = 79.4

Average Co-Inventor Count = 5.8

ph-index = 18

Forward Citations = 1,012(Granted Patents)


Location History:

  • Rancho Dominguez, CA (US) (1997)
  • Palo Alto, CA (US) (2006 - 2010)
  • Half Moon Bay, CA (US) (2009 - 2024)
  • Moon Bay, CA (US) (2023 - 2024)
  • Boston, MA (US) (2024)

Company Filing History:


Years Active: 1997-2025

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Areas of Expertise:
Quantitative Imaging
Atherosclerotic Plaque
Cardiovascular Disease
Non-Invasive Imaging
Artificial Intelligence
Machine Learning
CT Angiography
Biomarkers
Vascular Health
Image Analysis
Risk Stratification
Medical Imaging
34 patents (USPTO):Explore Patents

Title: The Innovative Contributions of David Seungwon Paik

Introduction

David Seungwon Paik is an accomplished inventor based in Half Moon Bay, California. With an impressive portfolio of 28 patents, Paik has made significant contributions to the fields of artificial intelligence, machine learning, and medical imaging. His innovative approaches are transforming the way complex data is analyzed and utilized in various applications.

Latest Patents

Among his latest contributions, one notable patent focuses on "Complex image data analysis using artificial intelligence and machine learning algorithms." This patent discloses systems, methods, and software designed to create a platform that enables intricate image data analysis. The system captures user inputs such as eye gaze and speech for the automated generation of findings, while also incorporating features like quality metric tracking, feedback mechanisms, and effective worklist management.

Another recent patent concerns "Determining biological properties of atherosclerotic plaque, coronary artery disease, or vasculopathy." This patent presents innovative systems and methods for analyzing pathologies through quantitative imaging. Utilizing a hierarchical analytics framework, these methods uniquely identify and quantify biological properties from imaging data, facilitating the assessment and characterization of various pathologies. This novel approach streamlines the process of understanding biological underpinnings, providing significant analytical advantages over existing methods.

Career Highlights

Throughout his career, David Seungwon Paik has collaborated with renowned organizations, including Elucid Bioimaging Inc. and Leland Stanford Junior University. His work not only emphasizes his technical ingenuity but also showcases his dedication to advancing research and innovation in the medical field.

Collaborations

He has notably teamed up with talented individuals such as Xiaonan Ma and Keith A Moulton, enhancing the scope and depth of his research endeavors. These collaborations have allowed him to explore various dimensions of his work and expand his impact across different scientific disciplines.

Conclusion

David Seungwon Paik stands out as a remarkable inventor whose patents are paving the way for advancements in image processing and medical diagnostics. His ability to intertwine artificial intelligence with medical imaging is setting new standards in the field, establishing him as a pivotal figure in the realm of innovation. As he continues to develop groundbreaking technologies, his contributions will undoubtedly leave a lasting legacy in the industry.

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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