Thomas Atta-Fosu

Title: Innovations by Thomas Atta-Fosu

Introduction

Thomas Atta-Fosu is an accomplished inventor based in Cleveland Heights, OH. He holds 2 patents that focus on advancements in medical imaging and machine learning for predicting atrial fibrillation. His work has significant implications for improving patient outcomes in cardiology.

Latest Patents

One of his latest patents is titled "Prediction of risk of post-ablation atrial fibrillation based on radiographic features of pulmonary vein morphology from chest imaging." This invention facilitates the generation of a prognosis for the recurrence or non-recurrence of atrial fibrillation (AF) after pulmonary vein isolation (PVI). The patent discusses training a machine learning classifier to determine a prognosis for AF based on radiographic images, either alone or in combination with clinical features.

Another notable patent is "Differential atlas for identifying sites of recurrence (DISRN) in predicting atrial fibrillation recurrence." This invention involves accessing a set of radiological images from a population of subjects, constructing a statistical shape differential atlas, and generating a template left atrium model. The process includes acquiring pre-ablation radiological images and computing a patient feature vector to generate an AF probability score for the patient.

Career Highlights

Thomas has worked with prestigious institutions such as Case Western Reserve University and The Cleveland Clinic Foundation. His contributions to the field of medical imaging and machine learning have been recognized for their innovative approach to addressing complex medical challenges.

Collaborations

Throughout his career, Thomas has collaborated with notable professionals, including Anant Madabhushi and Michael LaBarbera. These collaborations have further enhanced the impact of his inventions in the medical field.

Conclusion

Thomas Atta-Fosu's innovative work in predicting atrial fibrillation through advanced imaging techniques and machine learning exemplifies the intersection of technology and healthcare. His contributions are paving the way for improved patient care and outcomes in cardiology.