
A Johns Hopkins-led AI model outperforms current clinical guidelines in predicting risk of sudden cardiac death using cardiac MRI and patient records.
Key Details
- 1MAARS AI model analyzes contrast-enhanced cardiac MRI and medical records.
- 2Hypertrophic cardiomyopathy, a leading cause of sudden cardiac death, was the focus.
- 3Current guidelines identify high-risk patients with only ~50% accuracy; the AI reached 89% accuracy overall and 93% in ages 40-60.
- 4AI identifies critical heart scarring patterns (fibrosis) missed by doctors.
- 5Study published in Nature Cardiovascular Research; multi-institutional collaboration.
- 6Potential to both save lives and reduce unnecessary interventions like defibrillators.
Why It Matters

Source
EurekAlert
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