Featured Publications

|| The Tisonlab tech stack includes Python/Pytorch/Tensorflow/SQL ||



CathEF: Using AI to Automatically Assess Cardiac Systolic (Pump) Function from Routine Coronary Angiograms. JAMA Cardiology 2023 and Project Page.



Cath AI: Developing an automated AI-based pipeline for analysis of coronary angiograms. npj Digital Medicine 2023 and Project Page.



Worldwide Physical Activity Trends since COVID-19 Onset. The Lancet Global Health 2022

Worldwide physical activity trends since COVID-19 onset

Assessment of Disease Status and Treatment Response with Artificial Intelligence-Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy. JACC: Journal of the American College of Cardiology 2022. In collaboration with researchers at the Mayo Clinic and Myokardia/Bristol Myers Squibb. Article link.

Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations. Machine Learning For Health (ML4H) 2021 and Proceedings of Machine Learning Research 2021, in collaboration with Pranav Rajpurkar and team.

Performance of a Neural Network and Explainability Technique for 12-Lead Electrocardiogram (ECG) Interpretation. JAMA Cardiology 2021 and Project Page

Detection of Diabetes from Smartphone-based Vascular Signals (PPG) with Deep Learning. Nature Medicine 2020 and Project Page


Worldwide Effect of COVID-19 on Physical Activity from 19 million measurements and 187 countries. Annals of Internal Medicine 2020 



Automated and Interpretable Electrocardiogram Analysis with Machine Learning. Circulation: Cardiovascular Quality and Outcomes 2019

Cardiologist-level Arrhythmia Detection and Classification in Electrocardiograms with Deep Learning. Nature Medicine 2019 and Project Page


Explainable 12-Lead Electrocardiogram Analysis with Multitask Learning. NeurIPS Machine Learning for Health 2018

Fully Automated Echocardiogram Interpretation Pipeline with AI. Circulation 2018


Detection of Atrial Fibrillation from Smartwatch Data with Deep Learning. JAMA Cardiology 2018 and NeurIPS 2016.


Identifying Heart Failure Using EMR-based Algorithms. International Journal of Medical Informatics 2018

Semi-supervised Sequence Learning for Cardiovascular Risk Prediction. AAAI Conference on Artificial Intelligence 2018