AI-Powered Heart MRI Measurements Better Predict Patients' Survival
The tool analyzed scans in 2 to 3 seconds per patient and remained a significant predictor after accounting for age and sex.
6 Articles
6 Articles
A British research team published research results showing that AI measures the ejection rate 260 times faster than professional medical staff in cardiac MRI analysis and predicts the risk of death more accurately. This study, which analyzed data from 27,000 people, proved the efficiency and diagnostic accuracy of AI, but suggests that a final review by medical staff is still necessary to correct the errors.
AI-powered heart MRI measurements better predict patients' survival
Artificial intelligence (AI) measurements of heart function from MRI scans are more strongly linked to how long patients live after their scan than measurements made by clinicians, suggesting that AI could provide a useful first-line approach to measuring heart function.
AI measurements of heart scans more strongly linked to patient survival than clinician measurements
Artificial intelligence (AI) measurements of heart function from MRI scans are more strongly linked to how long patients live after their scan than measurements made by clinicians, suggesting that AI could provide a useful first-line approach to measuring heart function. This is according to research led by City St George's, University of London and University College London, and published in The Lancet Digital Health.
AI Analyzes Cardiac MRI Scans in 3 Seconds, Slightly Outperforming Doctors at Predicting Patient Death Risk
A large retrospective study found that AI measured left-ventricular ejection fraction from cardiac MRI scans in 2–3 seconds and slightly improved mortality-risk prediction compared with routine clinician measurements.
AI Heart MRI Analysis Outperforms Clinicians in Predicting Patient Survival, Major Study Finds
AI-powered analysis of cardiac MRI scans predicts patient survival more accurately than clinician measurements, according to a major study involving more than 27,000 patients in the UK and US.
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