Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review

R Khera, EK Oikonomou, GN Nadkarni… - Journal of the American …, 2024 - jacc.org
Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice
and research. The exponential rise in technology powered by AI is defining new frontiers in …

[HTML][HTML] Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study

LS Dhingra, A Aminorroaya, V Sangha, AP Camargos… - medRxiv, 2024 - ncbi.nlm.nih.gov
Background: Current risk stratification strategies for heart failure (HF) risk require either
specific blood-based biomarkers or comprehensive clinical evaluation. In this study, we …

Using Artificial Intelligence to Predict Heart Failure Risk from Single-lead Electrocardiographic Signals: A Multinational Assessment

LS Dhingra, A Aminorroaya, A Pedroso Camargos… - medRxiv, 2024 - medrxiv.org
Importance: Despite the availability of disease-modifying therapies, scalable strategies for
heart failure (HF) risk stratification remain elusive. Portable devices capable of recording …