Skip to main content
x
AI-Powered Heart Disease Tool Earns FDA Clearance
Posted August 24, 2023

 

 

A device developed by a Georgia Tech biomedical engineering professor that uses artificial intelligence (AI) to improve the treatment process for those with structural heart disease received FDA clearance in June.

 

Precision TAVI is an (AI)-driven individualized computer predictive modeling tool that can be used to improve patient outcomes, enhanced lifetime planning, and reduced costs associated with treating those needing transcatheter aortic valve replacement.

 

Lakshmi (Prasad) Dasi, a professor in the Wallace H. Coulter Department of Biomedical Engineering at Emory University and Georgia Tech, is the founder and chief technology officer for Dasi Simulations, the company behind the Precision TAVI.

 

“DASI Simulations empowers every heart team with critical insights guaranteeing the identification of the best possible care for individual patients, customized to their unique circumstances and anatomy, Dasi said. “One surgery at a time, our technology helps avoid complications, repeated interventions, helps lifelong planning for optimal structural heart care, and has the potential to save billions in unnecessary costs from preventable complications.”

 

Read more about the Precision TAVI here.

 

Contact

Kelly Petty  
Communications
Wallace H. Coulter Department of Biomedical Engineering

Latest BME News

Courses in the Wallace H. Coulter Department of Biomedical Engineering are being reformatted to incorporate AI and machine learning so students are prepared for a data-driven biotech sector.

Influenced by her mother's journey in engineering, Sriya Surapaneni hopes to inspire other young women in the field.

Coulter BME Professor Earns Tenure, Eyes Future of Innovation in Health and Medicine

The grant will fund the development of cutting-edge technology that could detect colorectal cancer through a simple breath test

The surgical support device landed Coulter BME its 4th consecutive win for the College of Engineering competition.

New research from Georgia Tech helps doctors predict how therapies will interact with a child's immune system, potentially improving outcomes and reducing risks.

Georgia Tech researchers reveal the dynamic role of inhibitory neurons in spatial memory and learning