Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Researchers from Leiden University Medical Center (LUMC) and the Leiden-based biotech company Ncardia have joined forces to ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Schematic representation of the ECG-LM model, a multi-modal large language model for cardiovascular diagnostics. The model integrates ECG data with patient information, offering accurate and ...
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...