Published Scientific Evidence
Category: (Hypertrophic Cardiomyopathy)
Anumana’s ECG-AI® technology is supported by one of the most extensive evidence bases in cardiovascular AI. This library provides direct access to our peer-reviewed validation studies and broader body of clinical research.
October
02
2023
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JACC
Patient-Level Artificial Intelligence-Enhanced Electrocardiography in Hypertrophic Cardiomyopathy: Longitudinal Treatment and Clinical Biomarker Correlations
Background: Artificial intelligence (AI) applied to 12-lead electrocardiographs (ECGs) can detect hypertrophic cardiomyopathy (HCM). Objectives The purpose of this study was to determine if AI-enhanced ECG (AI-ECG) can track longitudinal…
October
21
2022
{post_date: F d, Y}
Cardiovascular Digital Health Journal
Tandem deep learning and logistic regression models to optimize hypertrophic cardiomyopathy detection in routine clinical practice
An electrocardiogram (ECG)-based artificial intelligence (AI) algorithm has shown good performance in detecting hypertrophic cardiomyopathy (HCM). However, its application in routine clinical practice may be challenging due to the low…
February
28
2022
{post_date: F d, Y}
Journal of the Americal College of Cardiology (JACC)
Assessment of Disease Status and Treatment Response With Artificial Intelligence−Enhanced Electrocardiography in Obstructive Hypertrophic Cardiomyopathy
Although hypertrophic cardiomyopathy (HCM) causes significant morbidity and is a leading cause of sudden death in adolescents, initial detection remains difficult. Echocardiography is an important diagnostic modality for HCM, but…
May
04
2021
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Cardiovascular Digital Health Journal
An artificial intelligence-enabled ECG algorithm for comprehensive ECG interpretation: Can it pass the Turing test?
The objective of this study is to build infrastructure for digital trials to improve efficiency and generalizability and test it using a study to validate an artificial intelligence algorithm to…
April
30
2021
{post_date: F d, Y}
Poster @ Americal College of Cardiology (ACC) 2021
Detection Of Hypertrophic Cardiomyopathy By Artificial Intelligence-Enabled Electrocardiography In Children And Adolescents
BackgroundHypertrophic cardiomyopathy (HCM) is a cause of morbidity and sudden cardiac death in children and adolescents. There is currently no established screening approach for HCM. We recently developed an artificial…
January
31
2021
{post_date: F d, Y}
Journal of the Americal College of Cardiology (JACC) / ACC.21
Detection Of Hypertrophic Cardiomyopathy By Artificial Intelligence-Enabled Electrocardiography In Children And Adolescents
Hypertrophic cardiomyopathy (HCM) is a cause of morbidity and sudden cardiac death in children and adolescents. There is currently no established screening approach for HCM. We recently developed an artificial…
February
25
2020
{post_date: F d, Y}
Journal of the Americal College of Cardiology (JACC)
Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram
Hypertrophic cardiomyopathy (HCM) is an uncommon but important cause of sudden cardiac death. This study sought to develop an artificial intelligence approach for the detection of HCM based on 12-lead…