Subhi J. Al'Aref

A Boosted Ensemble Algorithm for Determination of Plaque Stability in High-Risk Patients on Coronary CTA.

Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing.

Reduction in radiation exposure using a focused low-voltage scan before coronary CT angiography.

Effect of sodium-glucose cotransporter 2 inhibitors on cardiovascular and kidney outcomes-Systematic review and meta-analysis of randomized placebo-controlled trials.

Using electronic health records for population health sciences: a case study to evaluate the associations between changes in left ventricular ejection fraction and the built environment.

Effects of sodium-glucose cotransporter 1 and 2 inhibitors on cardiovascular and kidney outcomes in type 2 diabetes: A meta-analysis update.

Meta-Analysis of Efficacy of Sacubitril/Valsartan in Heart Failure With Preserved Ejection Fraction.

End-to-End, Pixel-Wise Vessel-Specific Coronary and Aortic Calcium Detection and Scoring Using Deep Learning.

The Journal of Cardiovascular Computed Tomography: 2020 Year in review.

Coronary-Cameral Fistula, Thebesian Veins, and Anomalous Coronary Vein on Cardiac Computed Tomography.

Direct Oral Anticoagulants Versus Warfarin in Left Ventricular Thrombus: A Systematic Review and Meta-Analysis.

Major adverse cardiac events in symptomatic women with non-obstructive CAD on coronary CTA: pooled analysis from PROMISE and SCOT-HEART.

Association of Plaque Location and Vessel Geometry Determined by Coronary Computed Tomographic Angiography With Future Acute Coronary Syndrome-Causing Culprit Lesions.

Efficacy and safety of sodium-glucose cotransporter 2 inhibitors initiation in patients with acute heart failure, with and without type 2 diabetes: a systematic review and meta-analysis.

Gender Differences and Outcomes of Hypoattenuated Leaflet Thickening (HALT) Following Transcatheter Aortic Valve Replacement: A Meta-analysis of Randomized and Cohort Studies.

Current and Future Applications of Artificial Intelligence in Coronary Artery Disease.

Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure.

Sodium-Glucose Cotransporter 2 Inhibitors and Cardiac Remodeling.

The Journal of cardiovascular computed tomography: A year in review 2021.

Evaluating the Coronary Artery Disease Consortium Model and the Coronary Artery Calcium Score in Predicting Obstructive Coronary Artery Disease in a Symptomatic Mixed Asian Cohort.

Significance of indeterminate and abnormal stress electrocardiography despite normal imaging in patients with suspected coronary artery disease - An analysis of the PROMISE trial.

Cardiac magnetic resonance for prophylactic implantable-cardioverter defibrillator therapy international study: prognostic value of cardiac magnetic resonance-derived right ventricular parameters substudy.

HDL cholesterol levels and susceptibility to COVID-19.

Reply to: Letter to the Editor regarding 'Cardiac magnetic resonance for prophylactic implantable-cardioverter defibrillator therapy international study: prognostic value of cardiac magnetic resonance-derived right ventricular parameters substudy'.

Contemporary Applications of Machine Learning for Device Therapy in Heart Failure.

Prolactin Inhibition in Peripartum Cardiomyopathy: Systematic Review and Meta-analysis.

Influence of Iron Deficiency on Clinical and Haemodynamic Parameters in Pulmonary Arterial Hypertension Cohorts.

Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications.

Machine Learning for Predicting Intubations in Heart Failure Patients: the Challenge of the Right Approach.

Comparing the pooled cohort equations and coronary artery calcium scores in a symptomatic mixed Asian cohort.

Promises and challenges of machine learning for device therapy in heart failure.

The journal of cardiovascular computed tomography: A year in review: 2022.

Machine Learning in Cardiovascular Risk Prediction and Precision Preventive Approaches.

Application of deep neural networks for inferring pressure in polymeric acoustic transponders/sensors.

Low-cost prototyping of nitinol wires/frames using polymeric cores and sacrificial fixtures with application in individualized frames anchoring through the atrial septum.

Hidden Flaws Behind Expert-Level Accuracy of Multimodal GPT-4 Vision in Medicine.

Renal Biomarkers in Heart Failure: Systematic Review and Meta-Analysis.

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine.

COVID-19 in the Initiation and Progression of Atherosclerosis: Pathophysiology During and Beyond the Acute Phase.

Percutaneous pericardiocentesis using the apical approach: case series and review of the literature.

Clinical parameters of death and heart failure hospitalization in biventricular systolic dysfunction assessed via cardiac magnetic resonance.

Applications of ChatGPT in Heart Failure Prevention, Diagnosis, Management, and Research: A Narrative Review.