Company Filing History:
Years Active: 2022-2025
Title: Zhubo Jiang: Innovator in Cardiac Imaging Technology
Introduction
Zhubo Jiang is a prominent inventor based in Singapore, known for his contributions to the field of cardiac imaging technology. With a total of 3 patents, he has made significant strides in automating the analysis of echocardiogram images, which are crucial for diagnosing heart conditions.
Latest Patents
One of Jiang's latest patents is an "Automatic clinical workflow that recognizes and analyzes 2D and Doppler modality echocardiogram images for automated cardiac measurements and grading of aortic stenosis severity." This innovative method utilizes an automated workflow engine to process echocardiogram images, classifying them into 2D and Doppler modalities. The system segments regions of interest in the images to calculate cardiac measurements, ultimately generating a report that assesses the severity of aortic stenosis based on established cardiac guidelines.
Another notable patent is the "Clinical workflow to diagnose heart disease based on cardiac biomarker measurements and AI recognition of 2D and Doppler modality echocardiogram images." This automated workflow integrates cardiac biomarker measurements with echocardiographic images to provide a comprehensive analysis of heart health. By comparing the calculated measurements against international cardiac guidelines, the system outputs a report detailing the findings, which aids in diagnosing heart disease.
Career Highlights
Zhubo Jiang is currently employed at Eko.ai Pte. Ltd., where he continues to develop innovative solutions in cardiac imaging. His work focuses on enhancing the accuracy and efficiency of heart disease diagnosis through advanced technology.
Collaborations
Jiang collaborates with esteemed colleagues such as James Otis Hare, II and Su Ping Carolyn Lam, contributing to the advancement of cardiac imaging and diagnostics.
Conclusion
Zhubo Jiang's innovative work in cardiac imaging technology exemplifies the impact of automation and artificial intelligence in healthcare. His patents reflect a commitment to improving diagnostic processes, ultimately benefiting patient care and outcomes.