AI-Assisted MRI Diagnostics
This AI solution uses AI to enhance MRI acquisition, reconstruction, and interpretation for radiology and cardiac imaging. By embedding physics-informed and multimodal models directly into MRI workflows, it improves diagnostic accuracy, shortens scan and reporting times, and enables more consistent, scalable imaging services across healthcare systems.
The Problem
“Embed AI into MRI acquisition, reconstruction, and reads to cut scan+report time”
Organizations face these key challenges:
1
Long scan slots and re-scans due to motion, protocol deviations, or low SNR
2
Backlogged radiology reads and inconsistent reports across hospitals and readers
3
Variable image quality between scanners/sites and across technologist experience
4
Delayed cardiac MRI measurements (EF, volumes, scar burden) and follow-ups