Cleveland Clinic and DASI Simulations partner on AI ‘Co-Pilot’ for heart procedures
Image: DASI Simulations' AI predictive modeling program for the treatment of structural heart diseases.
Cleveland Clinic is teaming up with Columbus-based DASI Simulations to develop what they describe as an AI-powered “co-pilot” for structural heart care — technology designed to assist physicians during procedures such as Transcatheter Aortic Valve Replacement (TAVR).
The partnership combines Cleveland Clinic’s clinical expertise with DASI’s predictive modeling software, which turns routine imaging into a dynamic simulation to help doctors plan and optimize patient-specific procedures.
Why it matters
TAVR has become one of cardiology’s defining innovations — replacing open-heart surgery for many patients. The collaboration represents a push to make these complex interventions safer and more precise through artificial intelligence.
"Partnering with Cleveland Clinic allows us to bring the power of AI-driven, physics-based simulation directly into current clinical practice,” says DASI Founder and CEO Teri Sirset.
The details
Under the two-year agreement, the organizations will co-develop next-generation modeling tools that can provide real-time guidance in catheterization labs. Cleveland Clinic, which is an investor in DASI, will also start using DASI’s existing platform for current TAVR patients.
DASI’s PrecisionTAVI™ technology — the first FDA-cleared product in its category with a CMS reimbursement code — uses AI and computational modeling to transform CT scans into four-dimensional simulations, enabling more personalized treatment decisions.
"Developing our models to guide TAVR during the procedure with the help of AI will allow us to further enhance the safety of the procedure and ensure optimal valve selection,” said Samir Kapadia, M.D., chairman of Cardiovascular Medicine at Cleveland Clinic.
The big picture
The partnership underscores a broader trend of AI adoption in medical imaging and procedural planning, particularly within Ohio’s growing health-tech ecosystem.
By blending Cleveland Clinic’s global reach with DASI’s predictive modeling platform, the project could help shape how AI becomes a real-time clinical tool — not just a post-procedure analysis engine.