PCI

Trends and Scientific Evolution in Endovascular Aneurysm Repair (EVAR) Research: A Comprehensive Bibliometric Study Using VOSviewer.

BACKGROUND: Endovascular aneurysm repair (EVAR) has become a standard treatment for abdominal aortic aneurysms. However, the evolution of EVAR research and its global landscape remain underexplored. This bibliometric analysis aims to map publication trends, identify key contributors, and analyze thematic shifts in EVAR literature over the past three decades. METHODS: Data were collected from the W...

Integrated multi-omics and machine learning identify an interaction between SLC39A11 and phosphoinositide metabolism in deep vein thrombosis.

Association of depressive symptoms with systemic immune-inflammation index and platelet parameters among survivors of myocardial infarction: a cross-sectional NHANES study enhanced by machine learning and SHAP analysis.

BACKGROUND: Inflammation is implicated in the elevated risk of depressive disorder following myocardial infarction (MI), with platelets serving as a k...

Dynamic Ensemble Selection for Early Detection of Deep Vein Thrombosis in Fracture Patients.

Deep vein thrombosis (DVT) in fracture patients is often clinically silent, with a high incidence of thrombosis and associated mortality. Static machi...

Initial diagnosis and management of acute ischemic stroke: recent update and future direction.

Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the emergency department. Traditional prehospital tools a...

Physical exercise protects cardiovascular fitness in long-term spaceflight: what have we learned?

As space exploration advances into the era of deep space exploration, humanity faces unprecedented challenges in maintaining astronaut health, not onl...

Advances in occult cancer screening for patients with unprovoked venous thromboembolism: A narrative review of epidemiology, risk, and clinical strategies.

BACKGROUND: Venous thromboembolism (VTE) and cancer exhibit a bidirectional correlation. The probability of detecting occult cancer in unprovoked VTE ...

Artificial intelligence and machine learning in thrombosis and hemostasis: a scoping review of clinical and laboratory applications, challenges, and future directions.

This scoping review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guideli...

Creating Solutions to the Challenges in Managing Heparin Infusions: Exploring Use of Technology Including Artificial Intelligence and the Role of Anticoagulation Stewardship.

Adverse events and medication-related errors are common with anticoagulants. Heparin infusions are frequently associated with administration errors or...

Generative artificial intelligence provides accurate case selection in veterinary retrospective studies.

OBJECTIVE: To evaluate the agreement of automation tools with expert evaluators in identifying cases meeting inclusion and exclusion criteria for retr...

Precision medicine in Moyamoya vasculopathy.

PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease with variable presentation. As revascularization tec...

From sample to clinical insight: a review of exome sequencing in disease diagnostics.

Exome sequencing (ES) has transformed genomic research and clinical diagnostics by enabling precise identification of disease-associated variants with...

Artificial intelligence-assisted biliary stent length selection for common bile duct strictures in endoscopic retrograde cholangiopancreatography: Model development and validation.

BACKGROUND: Biliary stent placement during endoscopic retrograde cholangiopancreatography (ERCP) is important for drainage in common bile duct (CBD) s...

Digital twins and simulations in transcatheter coronary and structural heart interventions.

Digital twin technology, which enables the creation of patient-specific virtual models, is increasingly applied in interventional cardiology to suppor...

Prediction of Short-Term Postoperative Complications Following Open Reduction Internal Fixation of Ankle Fractures.

BACKGROUND: Minimizing postoperative complications is imperative to improving patient outcomes. The purpose of this investigation is to develop machin...

Early clinical implementation and evaluation of an NLP-Based AI system for thrombophilia assessment using electronic health records.

BACKGROUND: Thrombophilia evaluation requires integration of biochemical findings with clinical history, much of which is embedded in unstructured ele...

Artificial Intelligence-Based Algorithms Improve Care of Patients with AAA.

BACKGROUND: Timely detection and monitoring of abdominal aortic aneurysms (AAAs) are necessary to prevent ruptures and decrease mortality. Artificial ...

Large language models vs thrombosis experts: a comparative study on patient education and clinical decision-making in venous thromboembolism.

BACKGROUND: Large language models (LLMs) have demonstrated remarkable capabilities in various medical fields, yet their performance in thrombosis and ...

Development of an interpretable machine learning model to predict short-term bleeding risk in patients receiving dual antithrombotic therapy following cardiac surgery.

INTRODUCTION: Bleeding is a serious complication in cardiac surgery, especially among patients receiving combined anticoagulant and antiplatelet thera...

AI-driven innovations for dental implant treatment planning: A systematic review.

PURPOSE: This systematic review evaluates the effectiveness of artificial intelligence (AI) models in dental implant treatment planning, focusing on: ...