Building the Future Together

The Taskforce for Research Advancement in Artificial Intelligence and Cardiology (TRAIN-Cardio) is the largest consortium of cardiovascular AI researchers. With participation from researchers at over 20 institutions across the US, Canada, Korea, and China. TRAIN-Cardio regularly collaborates on large-scale validation studies and aims to advance the field of cardiovascular artificial intelligence.

Numerous collaborations through TRAIN-Cardio have resulted in impactful publications, including some of the largest multisite validations for ECGs, echocardiograms, and coronary catheterizations as diagnostic modalities.

Example Publications from TRAIN-Cardio Collaborations

CathAI: fully automated coronary angiography interpretation and stenosis estimation

Avram R, et al. npj Digital Medicine. 2023; 6(1):1-8.

A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease

Hughes JW, et al. npj Digital Medicine. 2023; 6(1):115.

Artificial Intelligence for Cardiovascular Care—Part 1: Advances

Elias P, et al. Journal of the American College of Cardiology. 2024; Jun, 83(24)

Artificial Intelligence in Cardiovascular Care—Part 2: Applications

Jain S, et al. Journal of the American College of Cardiology. 2024; Jun, 83(24)

Participating Institutions

Cedars Chicago Columbia Cornell Kaiser Permanente Mayo Clinic MedStar Mass General Brigham Mount Sinai MUSC Stanford UCSD UCSF UTSW Washington University Yale

Join the TRAIN-Cardio Community

We invite investigators interested in advancing cardiovascular AI research to join our consortium. To apply, please complete the application form below.

Apply Here