An AI-assisted model developed by researchers from the University of Missouri School of Medicine and the School of Engineering can take low-quality MRI heart scans and turn them into high-quality ...

An AI-assisted model transforms low-quality MRI heart scans into high-resolution images, cutting scan time by 90% and improving diagnostic accuracy.

The University of Missouri's AI-assisted model TagGen can increase image quality and lower scan time for MRI heart scans.

University of Missouri School of Medicine and the School of Engineering have developed an AI-assisted model for MRI heart scans.

A scientific team supported in part by the National Institutes of Health (NIH) has developed a new, ultra-high-resolution ...

Clinical and Economic Outcomes by Stage of Cardiac Damage and Clinical Presentation at Aortic Valve Replacemen Within the prior 24 months, I have had a financial relationship with a company producing, ...

Intermodality Assessment of Aortic Regurgitation Severity: Insights From Cardiac CT and MRI and Implications for Future Trials ...

No cardiac rhythm systems are Food and Drug Administration-labeled as "MRI safe" or "compatible." Recommendations for reprogramming the pulse generator have evolved since the first scans were ...

The pathophysiology of heart failure is complex, but mitochondrial dysfunction is an emerging therapeutic target to improve cardiac function. In this Consensus Statement, insights into the ...

Magnetic Resonance Imaging of Implantable Cardiac Rhythm Devices at 3.0 Tesla J. Rod Gimbel, MD Disclosures Pacing Clin Electrophysiol. 2008;31 (7):795-801.