AI Medical Compendium Journal:
JACC. Advances

Showing 1 to 10 of 26 articles

Machine Learning Informed Diagnosis for Congenital Heart Disease in Large Claims Data Source.

JACC. Advances
BACKGROUND: With an increasing interest in using large claims databases in medical practice and research, it is a meaningful and essential step to efficiently identify patients with the disease of interest.

FGF-23, Left Ventricular Hypertrophy, and Mortality in Patients With CKD: A Revisit With Mediation Analysis.

JACC. Advances
BACKGROUND: In patients with chronic kidney disease (CKD), fibroblast growth factor (FGF)-23 is suspected to cause death or cardiovascular disease by inducing left ventricular hypertrophy (LVH).

Admission Total Leukocyte Count as a Predictor of Mortality in Cardiac Intensive Care Unit Patients.

JACC. Advances
BACKGROUND: Inflammation is a sequela of cardiovascular critical illness and a risk factor for mortality.

Clinical Applications, Methodology, and Scientific Reporting of Electrocardiogram Deep-Learning Models: A Systematic Review.

JACC. Advances
BACKGROUND: The electrocardiogram (ECG) is one of the most common diagnostic tools available to assess cardio-vascular health. The advent of advanced computational techniques such as deep learning has dramatically expanded the breadth of clinical pro...

Deep Learning to Estimate Left Ventricular Ejection Fraction From Routine Coronary Angiographic Images.

JACC. Advances
BACKGROUND: Cine images during coronary angiography contain a wealth of information besides the assessment of coronary stenosis. We hypothesized that deep learning (DL) can discern moderate-severe left ventricular dysfunction among patients undergoin...

Thoracic Aortic Aneurysm Risk Assessment: A Machine Learning Approach.

JACC. Advances
BACKGROUND: Traditional methods of risk assessment for thoracic aortic aneurysm (TAA) based on aneurysm size alone have been called into question as being unreliable in predicting complications. Biomechanical function of aortic tissue may be a better...