Any Date
Low Ejection Fraction

Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure

We trained, validated, and tested an AI-enabled ECG in 98,736, 21,963, and 98,763 patients, respectively, who had an ECG and echocardiographic diastolic function assessment within 14 days with no exclusion criteria. It was also tested in 55,248 patients with indeterminate diastolic function by echoc… Read More

Nature Medicine

January 6, 2024

Hypertrophic Cardiomyopathy

Patient-Level Artificial Intelligence–Enhanced Electrocardiography in Hypertrophic Cardiomyopathy: Longitudinal Treatment and Clinical Biomarker Correlations

The purpose of this study was to determine if AI-enhanced ECG (AI-ECG) can track longitudinal therapeutic response and changes in cardiac structure, function, or hemodynamics in obstructive HCM during mavacamten treatment. We applied 2 independently developed AI-ECG algorithms (University of Califor… Read More


October 2, 2023

Other Programs

Machine-learning-derived heart and brain age are independently associated with cognition

A heart age biomarker has been developed using deep neural networks applied to electrocardiograms. Whether this biomarker is associated with cognitive function was investigated. Using 12-lead electrocardiograms, heart age was estimated for a population-based sample (N = 7779, age 40-85 years, 45.3… Read More

European Journal of Neurology

June 12, 2023


Abstract 42: Artificial Intelligence Electrocardiogram to Detect Coronary Calcification and to Predict Atherosclerotic Cardiovascular Events in the Community

We developed a deep learning algorithm that detects coronary artery calcium (CAC) score using 12-lead electrocardiograms (CAC- ECG). We tested the hypothesis that the output from the CAC-ECG algorithm would be associated with incident atherosclerotic cardiovascular disease (ASCVD) events and that th… Read More

AHA: Abstract

March 14, 2023

Other Programs

Physiological Age by Artificial Intelligence–Enhanced Electrocardiograms as a Novel Risk Factor of Mortality in Kidney Transplant Candidates

Mortality risk assessment before kidney transplantation (KT) is imperfect. An emerging risk factor for death in nontransplant populations is physiological age as determined by the application of artificial intelligence to the electrocardiogram (ECG). The aim of this study was to examine the relation… Read More


February 13, 2023

of 16

Download Our One-Pager

Featuring key corporate highlights and an overview of Anumana's technology