Cardio-Phoenix News & Updates

Detecting heart failure using novel bio-signals and a knowledge enhanced neural network
Using an AI solution to process ECG and novel bio-signals, the CHART algorithms are able to predict structural, functional, and valve abnormalities, effectively reducing this…

Summing up the year 2022 with the CHART team
The end of the year is always a good time to summarize what we have achieved for this period and what our plans are for…

A tech approach to a long-term cardiovascular care
Cardiovascular Disease (CVD) was flagged by the NHS as the most prominent condition in which lives could be saved – with plans of preventing 150,000…

An Inconclusive ECG
Situation 83-year-old female patient with a stressful life, glucose=8.00mmol/L, symptomatic (fatigue, sleep problems), and got CHART test in primary care. CHART report interpretation…

Myocardial infarction in question
Situation A 54-year-old male patient has a previous (a month earlier) normal ECG, and the physician did not diagnose any problem. CHART test is…

Detecting Heart Failure using novel bio-signals and a Knowledge Enhanced Neural Network
Background Clinical decisions about Heart Failure (HF) are frequently based on measurements of left ventricular ejection fraction (LVEF), relying mainly on echocardiography measurements for evaluating structural…
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