institutional access

You are connecting from
Lake Geneva Public Library,
please login or register to take advantage of your institution's Ground News Plan.

Published loading...Updated

AI Spots Deadly Heart Risk Most Doctors Can't See

JOHNS HOPKINS UNIVERSITY, BALTIMORE, MARYLAND, USA, JUL 2 – The MAARS AI model improves prediction of sudden cardiac death risk in hypertrophic cardiomyopathy patients to 89% accuracy, nearly doubling current clinical guideline performance.

  • On July 2, Johns Hopkins University researchers unveiled Multimodal AI for ventricular Arrhythmia Risk Stratification, which predicts sudden cardiac arrest risk by analyzing medical records and contrast-enhanced MRI images.
  • Current clinical guidelines identify patients only about half the time, said Natalia Trayanova, senior author and AI cardiology researcher, hindering risk assessment.
  • In testing, MAARS achieved 89% accuracy across all patients, with accuracy rising to 93% for patients aged 40 to 60.
  • The study could save many lives, and MAARS explains high-risk factors to help tailor individual treatment plans.
  • In future studies, the research team plans to test MAARS on more patients and expand to other heart diseases, which could enhance personalized risk assessment and clinical care.
Insights by Ground AI
Does this summary seem wrong?

26 Articles

Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/yearSubscribe

Bias Distribution

  • 100% of the sources are Center
100% Center

Factuality 

To view factuality data please Upgrade to Premium

Ownership

To view ownership data please Upgrade to Vantage

Medical Xpress broke the news in on Wednesday, July 2, 2025.
Sources are mostly out of (0)

You have read 1 out of your 5 free daily articles.