Leading innovation in cardiovascular care through applied data science & AI.

“Together, we’re not just shaping the future of cardiovascular health. We’re empowering the next generation of leaders in AI to inspire, innovate, and transform lives.”

- Rohan Khera

Featured Publications

  • AI-enhanced ECG images

    Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using ECG Images

    Circulation

  • ELSA-Brasil Study: CV Risk Stratification

    Performance of contemporary cardiovascular risk stratification scores in Brazil: an evaluation in the ELSA-Brasil study

    Open Heart

  • Heart Failure & Natural Language Processing

    Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing

    JACC: Heart Failure

  • Digital Twin Technology in Cardiology

    Cardiovascular care with digital twin technology in the era of generative artificial intelligence

    European Heart Journal

  • Elevated Lp(a) Screening

    Development and multinational validation of an algorithmic strategy for high Lp(a) screening

    Nature Cardiovsacular Research

  • Heart Failure Risk Stratification

    Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead ECG Images: A Multinational Study

    medRxiv

  • ECG with Self-Supervised Learning

    Efficient deep learning-based automated diagnosis from echocardiography with contrastive self-supervised learning

    Communications Medicine

  • Deep Learning from ECG Images

    Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

    JAMIA

  • Detection of LVSD with Single-lead ECG

    Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices

    NPJ Digital Medicine

  • Advanced cardiovascular diagnostics.

    RESEARCH AREAS

  • Precision clinical trial inference.

    RESEARCH AREAS

  • Electronic care quality inference.

    RESEARCH AREAS

  • Health outcomes and policy.

    RESEARCH AREAS

  • Digital twin technology.

    RESEARCH AREAS

Toolkits

  • A suite of tools utilizing an artificial intelligence (AI)-based model for clinical diagnosis that can use electrocardiogram (ECG) images, regardless of format or layout, to diagnose cardiovascular diseases and disorders. Learn more.

  • A suite of tools that personalize the assessment of randomized clinical trials through the application of advanced data science and machine learning. Learn more.

  • The CarDSPlus ECG Platform is designed to connect with wearable devices like Apple Watch, Fitbit, and AliveCor Kardia to detect structural heart disorders. Our home built CarDSPlus iOS app is available in the App Store and offers real-time ECG analysis with the Apple Watch. Learn more.