Publications
Hypertrophic Cardiomyopathy
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 since the electrocardiogram (ECG) is more widely accessible, we create… Read More
Published in Journal of the Americal College of Cardiology (JACC)
March 1, 2022
Low Ejection Fraction
Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study
Most patients who have heart failure with a reduced ejection fraction, when left ventricular ejection fraction (LVEF) is 40% or lower, are diagnosed in hospital. This is despite previous presentations to primary care with symptoms. We aimed to test an artificial intelligence (AI) algorithm applied t… Read More
Published in The Lancet Digital Health
January 5, 2022
Other Programs
Development of the AI-Cirrhosis-ECG (ACE) Score: An electrocardiogram-based deep learning model in cirrhosis
Cirrhosis is associated with cardiac dysfunction and distinct ECG abnormalities. This study aimed to develop a proof-of-concept deep learning-based artificial intelligence (AI) model that could detect cirrhosis-related signals on ECG and generate an AI-Cirrhosis-ECG (ACE) score that would correlate… Read More
Published in The American Journal of Gastroenterology
December 29, 2021
AF in Normal Sinus Rhythm
Batch enrollment for an artificial intelligence-guided intervention to lower neurologic events in patients with undiagnosed atrial fibrillation: rationale and design of a digital clinical trial
The objective of this study is to develop an artificial intelligence (AI)–enabled electrocardiogram (ECG) algorithm capable of comprehensive, human-like ECG interpretation and compare its diagnostic performance against conventional ECG interpretation methods Cardiologists determined that on average… Read More
Published in American Heart Journal
September 1, 2021
Other Programs
Automatic Wide Complex Tachycardia Differentiation using Mathematically-synthesized Vectocardiogram Signals
Automated wide complex tachycardia (WCT) differentiation into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) may be accomplished using novel calculations that quantify the extent of mean electrical vector changes between the WCT and baseline electrocardiogram (ECG… Read More
Published in Annals of Noninvasive Electrocardiology
August 21, 2021
Partner with us!
We’re actively developing algorithms for FDA approval. Please direct partnership and media inquiries to info@anumana.net
Let's Connect