Medtronic and Dasi Simulations Partner on TAVR Planning Technology

October 21, 2025—Medtronic and Dasi Simulations announced a strategic partnership aimed at expanding access to artificial intelligence (AI)–based predictive modeling technology designed to enhance preprocedural planning for transcatheter aortic valve replacement (TAVR) in the United States.

Dasi Simulations, which is based in Dublin, Ohio, develops AI and computer vision–powered modeling tools to aid heart surgeons and interventional cardiologists in planning complex structural heart interventions.

According to the companies, the collaboration integrates Dasi’s FDA-cleared digital twin and predictive modeling platform into the TAVR workflow, enabling clinicians to simulate multiple transcatheter heart valve deployment scenarios using patient-specific CT anatomies. The goal is to improve procedural precision, minimize risk, and support individualized valve selection in patients with aortic stenosis.

“Effective precase planning is essential to achieving optimal outcomes in TAVR,” commented Matthew Summers, MD, in the press release. “Integrating Dasi’s predictive modeling into our workflow has allowed us to better visualize anatomy, anticipate risks, and tailor valve decisions to each patient.” Dr. Summers is an interventional cardiologist at Sentara Heart Hospital in Norfolk, Virginia.

The companies stated that Dasi’s AI-based reports provide device-agnostic insights that can help predict complications such as annular rupture, coronary occlusion, and paravalvular leak, while informing strategies for potential reinterventions. Dasi’s FDA-cleared solutions—PrecisionTAVI and Dasi Dimensions, which are reimbursed by the Centers for Medicare & Medicaid Services—use retrospective outcomes and real-patient CT data to generate predictive simulations, noted the press release.

Additionally, the companies advised that Medtronic will provide support to participating sites alongside Dasi’s technical team. The initiative aims to demonstrate how simulation-based planning can enhance clinical and operational outcomes across device platforms.