AccuLine is developing CORA, a non-invasive examination that utilizes AI-powered signal processing to assess coronary artery disease risk through a 4-minute evaluation of vital signs, including heart electrical activity and oxygen saturation. This technology addresses the high incidence of heart attacks by providing a swift, accurate, and cost-effective alternative to traditional stress tests, potentially saving millions in healthcare costs.
Funding
$5.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Coronary artery disease (CAD) is a leading cause of death globally, often detected late through traditional stress tests that are time-consuming, labor-intensive, and sometimes inaccurate. Millions of individuals experience heart attacks annually, highlighting the need for earlier and more accessible detection methods. Current early detection tools often fall short in providing a swift, accurate, and cost-effective assessment of CAD risk.
Solution
AccuLine is developing CORA, a non-invasive system designed for the early detection of CAD. CORA utilizes AI-powered signal processing to analyze vital signs, including heart electrical activity and oxygen saturation levels, during a quick 4-minute evaluation. The system's technology is based on the detection of novel bio-signals, Voltage Spread and VCG (3D image of the heart’s electrical activity), combined with advanced signal processing and a proprietary augmented waveform display. CORA aims to provide a more accurate and cost-effective alternative to traditional stress tests, potentially saving lives and reducing healthcare costs associated with late CAD detection.
Target Audience
The primary target audience includes healthcare providers, hospitals, and medical institutions seeking a rapid, accurate, and cost-effective solution for early CAD detection in patients.
Features
- Non-invasive CAD risk assessment performed in 4 minutes
- AI-powered signal processing for enhanced accuracy
- Analysis of heart electrical activity, oxygen saturation, and respiratory phase
- Detection of two novel bio-signals: Voltage Spread and VCG
- Proprietary augmented data display for easy analysis of heartbeats
- Advanced filtering algorithms for electric signals
- Intended for use by any medical staff personnel in any setting