AI software for quick aortic valve measurements
Rapid, Automatic, AI Driven, Aortic Valve Measurement Software
This study is testing a new computer program that helps doctors quickly and accurately measure heart structures for a procedure called trans-catheter aortic valve replacement (TAVR), making the process faster and easier for everyone involved.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Dasisimulations LLC NIH-funded |
| Lab location | 1 site (Dublin, United States) |
| Project ID | NIH-10921022 on NIH RePORTER |
What this research studies
This research focuses on developing an innovative AI-driven software that automates the measurement process for trans-catheter aortic valve replacements (TAVR). Currently, this process is manual and time-consuming, often requiring hours of a cardiac imager's time. The new software aims to perform these complex measurements in just a few minutes using advanced algorithms and image sampling techniques. By streamlining this process, the research seeks to improve the efficiency and accuracy of TAVR procedures.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients who are candidates for trans-catheter aortic valve replacement (TAVR) procedures.
Not a fit: Patients who are not candidates for TAVR or those with other types of heart valve issues may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly reduce the time and expertise required for TAVR pre-planning, leading to better patient outcomes and more efficient use of medical resources.
How similar studies have performed: Other research has shown success with AI-driven approaches in medical imaging, indicating a promising potential for this novel application.
Where this research is happening
Dublin, United States
- Dasisimulations LLC — Dublin, United States (Active)
Researchers
- Principal investigator: Dasi, Lakshmi Prasad — Dasisimulations LLC
- Study coordinator: Dasi, Lakshmi Prasad
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.