Deep learning model helps in identifying the risk of complete heart block, finds JAMA
A new study published in the Journal of American Medical Association showed that patients at risk for complete heart block (CHB) may be risk-stratified using the AI-ECG model known as AIRE-CHB, which might inform therapy choices such empirical pacemaker insertion or rhythm monitoring. Ventricular standstill, syncopal damage, and abrupt cardiac death are all possible outcomes […]