Soo Jin Kang

Title: Innovations by Soo Jin Kang in Optical Diagnosis

Introduction

Soo Jin Kang is an accomplished inventor based in Seoul, South Korea. He has made significant contributions to the field of medical diagnostics, particularly through his innovative use of optical coherence tomography and machine learning technologies. With a total of 2 patents, his work focuses on enhancing the diagnosis of high-risk lesions in coronary arteries.

Latest Patents

One of his latest patents is an "Optical coherence tomography-based system for diagnosis of high-risk lesion and diagnosis method therefor." This invention aims to provide a system that utilizes optical coherence tomography (OCT) to diagnose vulnerable atheromatous plaques by employing an artificial intelligence model through deep learning. The method involves acquiring OCT images, extracting features, and determining the presence of high-risk lesions.

Another notable patent is the "Diagnostic device, diagnostic method and recording medium for diagnosing coronary artery lesions through coronary angiography-based machine learning." This invention offers a diagnostic device and method for predicting fractional flow reserve (FFR) and diagnosing coronary artery lesions using a machine learning algorithm based on coronary angiography. The method includes obtaining angiography images, extracting regions of interest, and utilizing AI models to predict FFR values.

Career Highlights

Soo Jin Kang has worked with reputable organizations such as the Asan Foundation and the University of Ulsan Foundation for Industry Cooperation. His experience in these institutions has allowed him to collaborate on various projects aimed at improving medical diagnostics.

Collaborations

He has collaborated with notable colleagues, including June Goo Lee and Hyung Joo Cho, who have contributed to his research and development efforts in the field of medical technology.

Conclusion

Soo Jin Kang's innovative work in optical diagnostics and machine learning has the potential to significantly impact the medical field. His patents reflect a commitment to advancing technology for better healthcare outcomes.