A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the ...

An advanced Johns Hopkins AI model called MAARS combs through underused heart MRI scans and complete medical records to spot hidden scar patterns that signal sudden cardiac death, dramatically ...

Multimodal AI for ventricular Arrhythmia Risk Stratification (MAARS), predicts individual patients' risk for sudden cardiac ...

Each project team comprises members from at least two JHU entities who aim to solve a complex problem and expand the horizons ...

A new AI algorithm is nearly twice as accurate as physicians at forecasting a sudden cardiac arrest in people with ...

The research, led by Johns Hopkins University and funded by the federal government, focuses on hypertrophic cardiomyopathy, a ...

"Supported by MAARS, clinicians can deliver personalized care to their patients and protect them appropriately from SCDA ...

A novel PET radiotracer can accurately detect a wide range of mold species that are linked to dangerous infections, according ...

Two areas of the brain may work in combination to tell the brain when it’s “feeling” tired. The results may provide a way to ...

Juan M. Lavista Ferres, the chief data scientist at Microsoft's AI for Good Lab, discusses how artificial intelligence might ...