Developing a machine-learning-powered, expert-level interpretation tool for pediatric and young adult electrocardiograms (ECGs), intended to identify life-threatening heart conditions and help prevent sudden cardiac arrest in young people
Developing a machine-learning-powered, expert-level interpretation tool for pediatric and young adult electrocardiograms (ECGs), intended to identify life-threatening heart conditions and help prevent sudden cardiac arrest in young people.