Daly City, CA, United States of America

Jin Kim

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 3.8

ph-index = 4

Forward Citations = 144(Granted Patents)


Company Filing History:


Years Active: 2016-2025

Loading Chart...
Loading Chart...
6 patents (USPTO):Explore Patents

Title: Jin Kim - Innovator in Blood Flow Estimation Technologies

Introduction

Jin Kim is a prominent inventor based in Daly City, CA (US). He has made significant contributions to the field of medical technology, particularly in the estimation of blood flow characteristics. With a total of 6 patents to his name, Jin is recognized for his innovative approaches that leverage machine learning and reduced order models.

Latest Patents

One of Jin Kim's latest patents focuses on systems and methods for estimating blood flow characteristics using a reduced order model and machine learning. This invention involves receiving patient-specific image data of the vasculature, generating a patient-specific reduced order model, and creating a feature vector that includes estimates of impedance values and geometric features. The method ultimately determines blood flow characteristics using a machine learning algorithm trained on these feature vectors.

Career Highlights

Jin Kim is currently associated with Heartflow, Inc., where he applies his expertise in medical imaging and machine learning to enhance patient care. His work is pivotal in developing technologies that improve the accuracy of blood flow assessments, which can lead to better diagnostic and treatment options for patients.

Collaborations

Jin collaborates with notable professionals in his field, including Travis Michael Sanders and Sethuraman Sankaran. These partnerships contribute to the advancement of innovative solutions in medical technology.

Conclusion

Jin Kim's work exemplifies the intersection of technology and healthcare, showcasing how innovations can lead to improved patient outcomes. His contributions to blood flow estimation technologies are paving the way for future advancements in medical diagnostics.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…