Cardiac Phase Space Analysis: Assessing Coronary Artery Disease Utilizing Artificial Intelligence

The bridge of artificial intelligence to cardiovascular medicine has opened up new avenues for novel diagnostics that may significantly enhance the cardiology care pathway. Cardiac phase space analysis is a noninvasive diagnostic platform that combines advanced disciplines of mathematics and physics with machine learning. Thoracic orthogonal voltage gradient (OVG) signals from an individual are evaluated by cardiac phase space analysis to quantify physiological and mathematical features associated with coronary stenosis. The analysis is performed at the point of care without the need for a change in physiologic status or radiation. This review will highlight some of the scientific principles behind the technology, provide a description of the system and device, and discuss the study procedure, clinical data, and potential future applications.

Automated summary

The integration of artificial intelligence with cardiovascular medicine has introduced novel diagnostics, such as cardiac phase space analysis, which is a noninvasive platform for evaluating physiological and mathematical features associated with coronary stenosis without the need for changes in physiologic status or radiation.