CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, Inc., a leading AI-driven health technology company and portfolio company of nference, announced today it has received the 2024 MedTech Breakthrough Award ...
Based on pioneering research from Mayo Clinic, ECG-AI LEF aims to aid physicians in identifying low ejection fraction in patients at risk of heart failure CAMBRIDGE, Mass.--(BUSINESS WIRE)--Anumana, ...
Anumana, Inc., a leader in cardiovascular AI, today announced U.S. Food and Drug Administration (FDA) clearance of its ECG-AI™ algorithm for cardiac amyloidosis (CA) – the first and only cleared for ...
The electrocardiogram (ECG) is a widely acknowledged clinical tool for diagnosis of cardiovascular diseases (CVDs). In low and middle income countries (LMICs), the lack of connected health (CH) ...
Paris-based Cardiologs has raised $6.5 million to support its AI-powered algorithm for ECG analysis. The round was led by a syndicate of investors including Idinvest, ISAI, Kurma Partners, and Partech ...
People store large quantities of data in their electronic devices and transfer some of this data to others, whether for professional or personal reasons. Data compression methods are thus of the ...
Sudden cardiac arrest among young people is a recent worldwide risk, and it is noticed that people with cardiac arrhythmia are more susceptible to various heart diseases. Manual classification can be ...
The 12-lead ECG hasn't changed in a century. The algorithms reading it have. Three CEOs and one educator on whether doctors should trust the model ...
An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch accurately diagnosed structural heart diseases, such as weakened pumping ability, ...
A new clinical study shows that PulseAI’s deep learning AI demonstrates superiority over the Apple Watch ECG in the detection of atrial fibrillation. Results have been accepted for presentation at the ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been developed. This ...
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