News
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 ...
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 ...
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 ...
2don MSN
A team of researchers from the MIT Sloan School of Management, the Sean M. Healey & AMG Center for ALS at Massachusetts ...
2d
News-Medical.Net on MSNAI model predicts death from sudden cardiac arrest with greater accuracy than doctorsMultimodal AI for ventricular Arrhythmia Risk Stratification (MAARS), predicts individual patients' risk for sudden cardiac ...
2d
MedPage Today on MSNAI Model Better Predicts Sudden Deaths in Hypertrophic Cardiomyopathy"Supported by MAARS, clinicians can deliver personalized care to their patients and protect them appropriately from SCDA ...
Individuals with MASLD with a lean vs nonlean body type have increased mortality and cardiovascular disease, among other outcomes.
Patients with cancer who participated in an exercise program lived longer without a recurrence of cancer and had a lower risk ...
1dOpinion
The New Republic on MSNVaccine Shortages. Viral Outbreaks. Widespread Illness. More Death.This could be America’s future if Robert F. Kennedy Jr. continues his rampage against public health—and it may arrive much ...
2d
ThePrint on MSNShefali Jariwala’s death spotlights world of anti-ageing treatments built on big claims, little scienceAnti-ageing treatments include broad spectrum of substances—from antioxidant supplements & growth hormone boosters, to ...
Right ventricular (RV) strain by cardiac magnetic resonance imaging (MRI) has been reported to yield robust prognostic data ...
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