Main > > >MACHINE LEARNING. *

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Cardio.>Arrhytmia. Diagnostics. By Com-bining:
- Cloud-based Data Analytics
- Machine-Learning capabilities &
- Wearable Biosensing Technology
Company Goal: be the leading provider of first-line Ambulatory Electrocardiogram, or ECG, Monitoring for patients at risk for Arrhythmias.
EU Approval Date : 2014. 12.03.
USA Approval Date: 2012. 02.06.
(*) Company; Patents; TradeMark & Web-
Site Available on Request.
UpDate: 2019. 07.23.




Cardio.>Coronary Artery Disease. DIAG.: System>2 Components:
1. a device that records 3D electric
currents via five electrodes attached
to the thorax & collects data from
the resting heart for approximately
four minutes &
2. AI Software APP. that uses multiple
algorithms and machine learning
methods to evaluate the measurements
result, along with a supplementary standard ECG report, are available about one minute later.
No Radiation Exposure
Non-Invasive
Patent>Pending
Study Published in Journal of Electro- cardiology
EU CE Mark: Yes.
(*) Company & Web-Sites Available on
Request.
UpDate: 2020. 01.14.




Onco.>Breast Cancer>Diag. Computer Aided Detection (CAD). Machine Learning for the Evaluation of Breast Abnormalities.
Software platform, with advanced Analytics and machine learning at its core. Embedded exclusive tools - QI Score™ and Similar Case Database Compare™ - provide similarity assessment to a robust database of abnormalities with clinically documented pathology.
USA Approval Date: 2017. 07.27.
(*) Company; Patents; TradeMark & Web-
Sites Available on Request.
UpDate: 2020. 01.07.




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