AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Hospital Healthcare Europe

Machine learning-assisted mapping of VT ablation targets: progress and potential

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
IEEE

Design and Development of a Heart Attack Prediction Application Using Machine Learning

Abstract: Heart attacks have been a leading cause of mortality around the globe, contributing towards premature deaths. The burden of this disease has been significantly impacted due to the late ...
IEEE

Hybrid Deep Learning Approach for Heart Disease Prediction using Multi-Head Attention Network and Stacked Long Short-Term Memory

Abstract: Heart disease (HD) is a specific abnormal condition that includes disorders occurring in the heart and affecting the bloodstream, while insufficient blood vessel function impacts heart ...