A new AI-powered platform in Singapore can reduce the time needed to assess heart muscle damage after a heart attack to 60 seconds, helping doctors identify patients at greatest risk of future cardiac events.
CARDIA-GM automatically analyses cardiac MRI scans to detect and measure scarred heart muscle tissue and microvascular obstruction (MVO), two critical markers of damage following a heart attack.
It produces 3D visualisations and measurements within 30 to 60 seconds.
The model was developed using 2,500 cardiac MRI scans from about 350 patients at NHCS and the National University Heart Centre Singapore.
The model was then validated on more than 900 cardiac MRI scans provided by collaborators in China and drawn from over 150 heart attack patients.
The research team said the findings indicated that CARDIA-GM could support clinical risk stratification after a heart attack, with prognostic value comparable to expert assessment.
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