Latest AI and machine learning research in acute coronary syndrome for healthcare professionals.
Continuous intravenous heparin infusion is widely used for deep vein thrombosis (DVT) in the intensi...
OBJECTIVES: The Queen of Hearts (QoH) ECG artificial intelligence model has demonstrated improved se...
Machine learning (ML) models integrating genetic and clinical data show promise for personalizing an...
Cardio-oncology patients may face complex treatment regimens due to the concurrent existence of canc...
Reliable and ultrasensitive detection of cardiac troponin I (cTnI) remains challenging due to the si...
OBJECTIVES: There is limited data demonstrating the benefit of artificial intelligence technology in...
BACKGROUND: Current ACS NSQIP benchmarking relies primarily on the principal Current Procedural Term...
BACKGROUND: Ascites development in cirrhosis reduces five-year survival from 80% to 30%, yet substan...
BACKGROUND: The clinical heterogeneity of atrial fibrillation (AF) challenges current classification...
BACKGROUND: Occlusion myocardial infarction (OMI) is increasingly recognized among NSTEMI patients, ...
BACKGROUND: Postoperative monitoring of free vascularized flaps (FVFs) is critical for early detecti...
INTRODUCTION: Timely and accurate diagnosis of ST-elevation myocardial infarction (STEMI) is critica...
Chemically induced proximity (CIP) enables programmable control of gene expression, protein activity...
BACKGROUND: Rapid and accurate exclusion of acute coronary syndrome (ACS) in patients presenting wit...
OBJECTIVE: To develop a predictive model for coronary atherosclerosis progression in patients with t...
INTRODUCTION: In a robotic breast ultrasound (US) system (RBUS), ensuring patient safety, comfort, a...
For decades, the use of fibrinolytic agents in patients with non-ST-elevation acute coronary syndrom...
BACKGROUND AND AIMS: Detecting subclinical atrial fibrillation (AF) and initiating anticoagulation t...
Lower extremity deep vein thrombosis (DVT) is a serious complication in elderly patients with hip fr...
Introduction This study evaluated the performance of neural network (NN) models with stepwise increa...
BACKGROUND: Screening for atrial fibrillation (AF) on the basis of AF risk may be more effective. We...