
Cardiac computed tomography angiography (CCTA), the premier coronary artery disease (CAD) rule-out test, is less available in rural areas (vs urban) in the US. To address this gap…

Pulmonary hypertension is frequently underdiagnosed due to limitations of transthoracic echocardiography. CorVista PH is a novel, Food and Drug Administration–cleared point-of-care diagnostic…

The methodology to acquire the physiological signal for a Coronary Artery Disease (CAD) test is presented. A method is proposed to interpret the CAD score concerning test positivity and..

Many clinical studies have shown wide performance variation in tests to identify coronary artery disease (CAD). Coronary computed tomography angiography (CCTA) has been identified as an effective…

Artificial intelligence, particularly machine learning, has gained prominence in medical research due to its potential to develop non-invasive diagnostics. Pulmonary hypertension presents a diagnostic challenge due…

The current standard of care for coronary artery disease (CAD) requires an intake of radioactive or contrast enhancement dyes, radiation exposure, and stress and may take days to weeks…

Pulmonary hypertension (PH) is defined by mean pulmonary arterial pressure (mPAP) of ≥21 mmHg or ≥25 mmHg by right heart catheterization (RHC), (2022 and 2015 ERS/ESC guidelines). Based…

This supervised machine-learned model provides strong preliminary evidence that an algorithm with performance superior to TTE can be developed to assess the likelihood of PH in patients with new onset…

Machine learning (ML) and its applications have become an important part of everyday life as well as medical practice, from retinal scans for airport access to cancer detection in pathological specimens. Eloquent…

Phase space is a mechanical systems approach and large-scale data representation of an object in 3-dimensional space. Whether such techniques can be applied to predict left ventricular pressures…

Multiple trials have demonstrated broad performance ranges for tests attempting to detect coronary artery disease. The most common test, SPECT, requires capital-intensive equipment, the use of radionuclides, induction of…
Elevated left ventricular end diastolic pressure (LVEDP) is a consequence of compromised left ventricular compliance and an important measure of myocardial dysfunction. An algorithm was developed to predict elevated…
Coronary artery disease (CAD) and heart failure are the most common cardiovascular diseases. Non-invasive diagnostic testing for CAD requires radiation, heart rate acceleration, and imaging…
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…
This article is an overview of recent applications of ML to achieve improved diagnosis of HF and the resultant implications for patient management…

Phase space is a mechanical systems approach and biopotential data representation of an object in 3D space. This study aimed to develop and validate a machine-learned cardiac phase space analytic (cPSA) approach to predict LVEDP…

Machine learning utilizing convolutional neural networks and elastic net combined with a novel cardiac phase space tomography (cPST) now permits rapid analysis of thoracic phase signals for the…

Machine learning through convolutional neural networks and elastic net combined with a novel form of cardiac phase space tomography (cPST) now permits rapid analysis of thoracic phase signals…

Artificial intelligence (AI) techniques are increasingly applied to cardiovascular (CV) medicine in arenas ranging from genomics to cardiac imaging analysis. Cardiac Phase Space Tomography Analysis (cPSTA)…

Artificial intelligence (AI) techniques are increasingly being applied to cardiovascular (CV) medicine, yielding diagnostic tools that may significantly enhance the care of cardiac patients.

Combined with machine learning, cardiac phase space tomography analysis (cPSTA) evaluates thoracic physiological signals, without the use of radiation, exercise, or pharmacological stress…

Machine-learned solutions are rapidly being implemented for the analysis of health care system based big data. Cardiac phase space tomography analysis (cPSTA) analyzes thoracic physiological signals…

Heart failure is a progressive disease affecting approximately 6 million people in the United States. Left ventricular ejection fraction (LVEF) is used to guide therapy and determine cardiac risks…

Estimation of left ventricular (LV) systolic function is central to the prescription of medical and device therapy. Yet, significant variability in LV ejection fraction (EF) values exist among the methods used. Of these…