Company Filing History:
Years Active: 2025
Title: Weile Wayne Tee: Innovator in Automated Cardiac Diagnosis
Introduction
Weile Wayne Tee is a prominent inventor based in Singapore, known for his groundbreaking work in the field of automated cardiac diagnosis. His innovative approach leverages advanced technology to enhance the accuracy and efficiency of cardiac assessments.
Latest Patents
Weile Wayne Tee holds a patent for an "Automatic clinical workflow that recognizes and analyzes 2D and Doppler modality echocardiogram images for automated cardiac measurements and diagnosis of cardiac amyloidosis and hypertrophic cardiomyopathy." This computer-implemented method utilizes an automated workflow engine executed by at least one processor. It involves separating a plurality of echocardiogram images of the heart according to 2D images and Doppler modality images. The 2D images are classified by view type, including A4C video. The method segments these images to produce segmented A4C images with a segmentation mask over the left ventricle. Phase detection is performed on the segmented A4C images to determine systole and diastole endpoints per cardiac cycle. Disease classification is conducted on beat-to-beat A4C images for respective cardiac cycles. The cardiac cycle probability scores generated for all cardiac cycles are aggregated for each A4C video, and the aggregated probability scores for all A4C videos are combined to generate a patient-level conclusion for cardiac amyloidosis and hypertrophic cardiomyopathy. He has 1 patent to his name.
Career Highlights
Weile Wayne Tee is associated with Eko.ai Pte. Ltd., where he contributes to the development of innovative healthcare solutions. His work focuses on improving diagnostic processes through automation and advanced imaging techniques.
Collaborations
Weile has collaborated with notable professionals in the field, including James Otis Hare, II and Su Ping Carolyn Lam, enhancing the impact of his work through shared expertise.
Conclusion
Weile Wayne Tee's contributions to automated cardiac diagnosis represent a significant advancement in medical technology. His innovative patent showcases the potential of automation in improving patient outcomes in cardiology.