AI mines MRI to predict future death from cardiac arrest


Researchers from Johns Hopkins University have developed Survival Study of Cardiac Arrhythmia Risk (SSCAR), a deep-learning model that utilizes contrast-enhanced MR image data and clinical variables to estimate individual patient times to arrhythmic sudden cardiac death. Their algorithm yielded a promising level of performance on both internal and external datasets.


“This has the potential to significantly shape clinical decision-making regarding arrhythmia risk and represents an essential step towards bringing patient trajectory prognostication into the age of artificial intelligence,”…



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