PCI

Prediction model for deep vein thrombosis stability based on multiple machine learning methods.

BackgroundThis study aimed to develop multiple machine learning (ML) models to predict DVT stability based on clinical and computed tomography (CT) texture features.MethodsA total of 108 patients diagnosed with DVT by clinical examination and ultrasonography in this study. Patients were divided into the DVT with acute pulmonary embolism (APE) (thrombus unstable group) and DVT without APE (thrombus...

Self-powered in-stent restenosis diagnosis via magnetoelastic stents.

Widely used in millions of atherosclerosis treatments, conventional metal stents, although pervasive, only provide mechanical support to narrowed arteries. However, many patients experience in-stent restenosis after implantation. Here we developed smart magnetoelastic stents that preserve mechanical functionality while enabling self-powered hemodynamic monitoring for continuous and timely diagnosi...

Development and validation of a machine learning model for prediction of 1-year mortality following ST-elevation myocardial infarction: a retrospective cohort study.

OBJECTIVES: To develop a machine learning (ML)-based risk prediction model for 1-year mortality in ST-elevation myocardial infarction (STEMI) patients...

Explainable machine learning model based on clinical and radiological features for predicting hematoma expansion or rebleeding after decompressive craniectomy in traumatic brain injury: a bicentric cohort study.

BACKGROUND: Hematoma expansion or rebleeding after decompressive craniectomy (DC) is a critical determinant of poor prognosis in traumatic brain injur...

Practical machine learning model for early and accurate prediction of disseminated intravascular coagulation before its progression to an overt stage.

BACKGROUND AND AIMS: In patients with sepsis, anticoagulant therapy is expected to have maximal efficacy when administered before the development of s...

Coronary revascularization: a long-term perspective.

This paper will forecast advancements in coronary revascularization by 2040, drawing on historical trends and recent breakthroughs. Having forecasted ...

A fast fully automated approach for evaluating calcified lesions in intravascular ultrasound.

AIMS: Catheter-based coronary intervention is an effective treatment for acute coronary syndrome. However, calcified plaques pose significant challeng...

Finite-Time Admittance Control for Adaptive Compliance of a Soft Actuator of Robotic Gastric Simulator.

To test food, drug formulations, and medical devices, extensive research has focused on developing in vitro gastric simulators. Existing simulators ra...

Interpretable machine-learning risk prediction of unplanned extubation among cancer patients with peripherally inserted central catheters.

Unplanned extubation of peripherally inserted central catheters (PICC-UE) in patients with cancer has been linked to factors including women, diabetes...

Artificial intelligence risk stratification from dynamic digital subtraction angiography radiomics predicts pulmonary embolism and associates with clinical outcomes in deep vein thrombosis: A retrospective cohort study.

OBJECTIVE: Current risk stratification for lower extremity deep vein thrombosis remains limited, often failing to identify high-risk patients for impe...

Comparison of balloon-occluded esophageal varices obliteration and endoscopic variceal ligation for high-risk esophageal varices of various diameters: a prospective randomized controlled trial.

BACKGROUND AND AIMS: Endoscopic variceal ligation (EVL) is associated with relatively high rebleeding rates in patients with large esophageal varices ...

Prediction of mortality, bleeding, and ischaemic events in patients with cancer and acute coronary syndrome: a model development and validation study.

BACKGROUND: Accurate assessment of mortality, bleeding, and atherothrombotic risk in patients with cancer and acute coronary syndrome could inform nov...

Investigation of Bias Using ChatGPT-4 in Pain Management and Patient Profiling.

BACKGROUND: Large language models, such as ChatGPT (cGPT), are being integrated increasingly into clinical workflows and medical education. However, c...

Toward Smart and Adaptive Endovascular Devices: The Role of Digital Twins in Precision Vascular Medicine.

Endovascular implants, such as stents, flow diverters, and endografts, have reshaped cardiovascular therapy but still face trade-offs in restenosis, t...

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data.

BACKGROUND: Bleeding complications are a major contributor to adverse drug events among older inpatients, particularly in those treated with antithrom...

In-hospital outcomes of intravascular lithotripsy compared to rotational atherectomy and cutting/scoring balloon angioplasty.

BACKGROUND: Intravascular lithotripsy (IVL) emerged for the treatment of coronary artery calcification with encouraging safety and effectiveness rates...

Mechanisms, precision therapies, and technological frontiers in coronary atherosclerosis: a comprehensive review.

Coronary atherosclerosis is a leading cause of morbidity and mortality worldwide and is characterized by complex molecular and cellular mechanisms inv...

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 researc...

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...