Kritika Iyer

Title: Innovations of Kritika Iyer in Machine Learning and Cardiovascular Health

Introduction

Kritika Iyer is an accomplished inventor based in Ann Arbor, MI (US). She has made significant contributions to the field of machine learning, particularly in the area of cardiovascular health. With a total of 3 patents, her work focuses on innovative methods for assessing coronary artery disease and improving clinical outcomes.

Latest Patents

One of Kritika's latest patents is titled "Machine learning approach for coronary 3D reconstruction from X-ray angiography images." This method involves performing 3D vessel tree reconstruction by providing segmented binary angiography images, applying a distance transform, and generating distance transformed binary angiography images. The resultant images are then utilized by a trained 3D vessel reconstruction machine learning model, which includes a multi-stage convolutional neural network. This model is capable of reconstructing 3D vessels, which can be instrumental in assessing coronary vessel health and occlusion.

Another notable patent is "Anatomical and functional assessment of CAD using machine learning." This invention employs machine learning and computational modeling techniques to quantify non-invasive Fractional Flow Reserve (FFR) based on angiographically derived anatomy and hemodynamics data. It relies on machine learning algorithms for image segmentation and flow assessment, as well as accurate physics-based computational fluid dynamics (CFD) simulations for FFR computation.

Career Highlights

Kritika has worked at prestigious institutions such as the University of Michigan and King's College London. Her experience in these organizations has allowed her to develop and refine her innovative approaches to cardiovascular health.

Collaborations

Throughout her career, Kritika has collaborated with notable professionals, including Carlos Alberto Figueroa-Alvarez and Brahmajee Kartik Nallamothu. These collaborations have further enriched her research and contributed to her success as an inventor.

Conclusion

Kritika Iyer's work exemplifies the intersection of machine learning and healthcare, particularly in the assessment of coronary artery disease. Her innovative patents and collaborations highlight her commitment to advancing medical technology and improving patient outcomes.