Acute Coronary Syndrome

Enhancing Thrombophilia Risk Prediction Through AI-Based Methodologies.

Thrombophilia, a predisposition to thrombosis, poses significant diagnostic challenges due to its mu...

[Construction of a back propagation neural network model for predicting urosepsis after flexible ureteroscopic lithotripsy].

OBJECTIVES: To analyze the association of serum heparin-binding protein (HBP) and C-reactive protein...

Efficacy of Intraoperative Cell Salvage on Perioperative Blood Transfusion in Pelvic and Acetabular Surgery: A Matched Cohort Analysis.

BACKGROUND: Pelvic fractures often result in traumatic and intraoperative blood loss. Cell salvage (...

Comparison of machine learning models to predict complications of bariatric surgery: A systematic review.

Due to changes in lifestyle, bariatric surgery is expanding worldwide. However, this surgery has nu...

A Novel Detection of Cerebrovascular Disease using Multimodal Medical Image Fusion.

BACKGROUND: Diseases are medical situations that are allied with specific signs and symptoms. A dise...

Critical Appraisal on the Role of Warfarin in the Current Era.

Warfarin has been the most extensively used oral anticoagulant (OAC) in medical settings for over 60...

[Saved myocardium in acute ST-segment elevation myocardial infarction post-reperfusion: Analysis by cardiac magnetic resonance].

OBJECTIVE: To quantify by cardiovascular magnetic resonance the salvaged myocardium in the myocardiu...

FACTORS AFFECTING PROGNOSIS AND MORTALITY IN SEVERE COVID-19 PNEUMONIA PATIENTS.

Fatality rate in coronavirus disease 2019 (COVID-19) cases has been reported to be 3.4% worldwide. T...

Comparison of Robotic and Laparoscopic Colectomies Using the 2019 ACS NSQIP Database.

OBJECTIVES: Robot-assisted laparoscopic surgeries (RLSs) have become increasingly common in the past...

[Our Experience and Technical Improvement in Robot-assisted Cardiac Surgery].

Since 2014, we have used the da Vinci surgical system to perform internal thoracic artery harvest in...

Care Models for Acute Chest Pain That Improve Outcomes and Efficiency: JACC State-of-the-Art Review.

Existing assessment pathways for acute chest pain are often resource-intensive, prolonged, and expen...

Comparison of surgical outcomes after robot-assisted laparoscopic partial nephrectomy between patients continuing and discontinuing aspirin therapy: a Japanese single-centre study.

PURPOSE: To investigate the feasibility of continuing aspirin therapy in patients with renal tumours...

Machine Learning Refinement of the NSQIP Risk Calculator: Who Survives the "Hail Mary" Case?

BACKGROUND: The American College of Surgeons (ACS) NSQIP risk calculator helps guide operative decis...

A systemic review and meta-analysis of the effects of perioperative anticoagulant and antiplatelet therapy on bleeding complications in robot-assisted prostatectomy.

OBJECTIVE: Robot-assisted prostatectomy is commonly performed for the management of prostate cancer....

Deep Learning-Based 3D Segmentation of True Lumen, False Lumen, and False Lumen Thrombosis in Type-B Aortic Dissection.

Patients with initially uncomplicated typeB aortic dissection (uTBAD) remain at high risk for develo...

Histograms of Frequency-Intensity Distribution Deep Learning to Predict the Seizure Liability of Drugs in Electroencephalography.

Detection of seizures as well as that of seizure auras is effective in improving the predictive accu...

Development and validation of a machine learning model to predict mortality risk in patients with COVID-19.

New York City quickly became an epicentre of the COVID-19 pandemic. An ability to triage patients wa...

Machine learning predicts risk in ACS.

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets.

BACKGROUND: The accuracy of current prediction tools for ischaemic and bleeding events after an acut...

Prediction and Diagnosis of Venous Thromboembolism Using Artificial Intelligence Approaches: A Systematic Review and Meta-Analysis.

Venous thromboembolism (VTE) is a fatal disease and has become a burden on the global health system....

Natural Language Processing Performance for the Identification of Venous Thromboembolism in an Integrated Healthcare System.

Real-time identification of venous thromboembolism (VTE), defined as deep vein thrombosis (DVT) and ...