Programmdetails

Machine learning for the analysis of circulating miRNAs in cardiovascular disease

Smartphone-based voice alterations as indicators of congestion in heart failure: first insights from the AHF-Voice study

Voice-based digital phenotyping of patients with heart failure: first results from the AHF-Voice study

Reimagining CVD Risk Stratification: A Novel Approach Integrating Automated Machine Learning into Cardiovascular and Digital Medicine

Development and evaluation of an automated ECG-based algorithm to determine risk for permanent pacemaker implantation following TAVR

eHealth for Promoting Regular Physical Activity in Medical Rehabilitation Maintenance - the RehaPlus+ Concept

Effectiveness of Patient-Reported Outcome Measures in Healthcare: A Systematic Review Across Medical Specialties

Can Large Language Models Make Guideline‑adherent Treatment Decisions For Patients with Severe Aortic Stenosis?