Latest AI and machine learning research in acute coronary syndrome for healthcare professionals.
Thrombotic events are one of the leading causes of mortality and morbidity related to cancer, with o...
PURPOSE: Vulnerable plaque detection is important to acute coronary syndrome (ACS) diagnosis. In rec...
BACKGROUND: Computerised electrocardiogram (ECG) interpretation diagnostic algorithms have been deve...
OBJECTIVE: Photoselective vaporization of the prostate (PVP) is a widely performed surgical procedur...
BACKGROUND: Venous thromboembolism is a common disease seen in the emergency department and a cause ...
BACKGROUND: The aim of this study was to develop a diagnostic prediction model to improve identifica...
OBJECTIVES: Congestive heart failure (CHF) is a heart disease with a growing incidence and prevalenc...
The aim of this study is to predict acute coronary syndrome (ACS) requiring revascularization in tho...
OBJECTIVES: When caring for children in a hospital setting, tablets are often manipulated at the war...
OBJECTIVE: Deep vein thrombosis (DVT) is a disease caused by abnormal blood clots in deep veins. Acc...
OBJECTIVE: The aim of this study was to conduct an effective assessment of peripherally inserted cen...
Investigation of the clinical potential of extensive phenotype data and machine learning (ML) in th...
There is paucity of literature about the validation of the American College of Surgeons National Su...
BACKGROUND: Interconnections between major cardiovascular events (MCVEs) and renal events are recogn...
BACKGROUND: Major adverse cardiac event (MACE) prediction plays a key role in providing efficient an...
Artificial neural networks are machine-learning algorithms designed to analyse data without a pre-ex...
In this study, Pd@Au nanocubes supported β-cyclodextrins functionalized three-dimensional porous gra...
PURPOSE: Delayed enhancement imaging is an essential component of cardiac MRI, which is used widely ...
BACKGROUND: Main adverse cardiac events (MACE) are essentially composite endpoints for assessing saf...
GenerationE of huge "omics" data necessitates the development and application of computational metho...
BACKGROUND: Direct oral anticoagulants are the first-line drugs for anticoagulation therapy in nonva...