Artificial intelligence-enhanced electrocardiogram for the diagnosis of cardiac amyloidosis: A systemic review and meta-analysis.

Background: Diagnosis of cardiac amyloidosis (CA) is often delayed due to variability in clinical presentation. The electrocardiogram (ECG) is one of the most common and widely available tools for assessing cardiovascular diseases. Artificial intelligence (AI) models analyzing ECG have recently been developed to detect CA, but their pooled accuracy is yet to be evaluated.

Frequency of Three-Vessel Disease Among Patients With Non-ST Segment Elevation Myocardial Infarction.

Background: Though the presence of three-vessel disease (3VD) among patients with non-ST Segment Elevation Myocardial Infarction (NSTEMI) is relatively common, very limited data is available regarding its clinical significance. The current study aimed to determine the frequency of 3VD among NSTEMI patients presenting at the tertiary care hospital of Karachi, Pakistan.

Methodology: This cross-sectional study was conducted at the National Institute of Cardiovascular Diseases, Karachi from August 15 2015 to February 15 2016 over a sample of 139 NSTEMI patients.

Accuracy of pre-operative parameters in predicting severe cholecystitis-A systematic review.

Introduction: Severity of cholecystitis can be defined by the presence of histopathological changes such as gangrene, perforation, and empyema. Severe cholecystitis correlates with higher morbidity and longer hospital stay. The present review aimed to identify the predictors of severe cholecystitis.