By Just Analyzing ECG Tests, AI Can Predict If Person Will Die in A Year Analytics Insight

It has been found that taking a look at standard ECG tests, AI can help identify patients who are more likely to die of any medical reason within a year. The researchers from Geisinger Health System in Pennsylvania reached this conclusion after analyzing the results of 1.77 million ECGs and other records from almost 4,00,000 patients. The team of researchers used that data to compare ML-based models. The model can either directly analyze the raw ECG signals or depend on aggregated human-derived measures and commonly diagnose disease patterns. The neural network model was found to be more efficient which can directly analyze the ECG signals for predicting the one-year risk of death.