Cleveland Clinic develops cardiac MRI AI model that interprets scans with up to 99% accuracy, improving diagnostic efficiency and consistency.

A team of researchers from Carnegie Mellon University, in collaboration with Cleveland Clinic's Cardiovascular Innovation Research Center, has developed an artificial intelligence (AI) system capable ...

A team of researchers from Carnegie Mellon University, in collaboration with Cleveland Clinic ’s Cardiovascular Innovation ...

Researchers from Carnegie Mellon University and the Cleveland Clinic have created a new artificial intelligence system that ...

A new cardiac magnetic resonance imaging-based measurement may improve how physicians assess a common heart valve condition, ...

Patients with pacemakers and implantable defibrillators have historically faced major challenges when trying to receive an ...

We’re getting old, and that’s not a bad thing. In 1980, the median age of Americans was 30. Today, it’s 39, and one of the reasons is advancements in medical procedures and technology that are ...

A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the system's ability to analyze long-underused heart imaging, alongside a full ...

A patient receives an MRI scan at Buda Health Centre in Budapest, Hungary, June 27, 2019. Picture taken June 27, 2019. REUTERS/Tamas Kaszas (This is an excerpt of the Health Rounds newsletter, where ...

Findings from a new study have identified a new model for predicting outcomes for hypertrophic cardiomyopathy (HCM), a heart ...

A routine cardiac MRI scan may be comparable to right heart catheterization for determining the severity of heart failure, according to a study in JACC: Advances. Researchers in England developed a ...