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 ...

Researchers at Johns Hopkins University have developed a new artificial intelligence (AI) model that significantly outperforms current clinical guidelines in identifying patients at high risk of ...

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

Patients in a structured exercise program experienced a 37% lower risk of death and a 28% reduction in recurrence or ...

Brain death determination sits at the fraught intersection of critical-care medicine, ethics, and organ-donation logistics.

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

Fat isn’t just a guilty pleasure — it’s cancer’s secret weapon. New research from UT Southwestern Medical Center is shedding ...

Patients with cancer who participated in an exercise program lived longer without a recurrence of cancer and had a lower risk ...

HealthDay News — For adults aged 65 years and older, the unintentional fall death rate was 69.9 per 100,000 population in 2023 and increased with increasing age, according to a June data brief ...

In a first step toward FDA approval of kidney xenotransplantation, a living human with end-stage kidney disease may receive a ...

This could be America’s future if Robert F. Kennedy Jr. continues his rampage against public health—and it may arrive much ...

Social competition shaped behaviors that still influence human emotional health. Depression may reflect evolved signals of submission in competitive social settings. Modern life amplifies social ...