AIMC Topic: Catheterization, Peripheral
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Integrating deep learning in public health: a novel approach to PICC-RVT risk assessment.
Frontiers in public health
Jan 7, 2025
BACKGROUND: Machine learning is pivotal for predicting Peripherally Inserted Central Catheter-related venous thrombosis (PICC-RVT) risk, facilitating early diagnosis and proactive treatment. Existing models often assess PICC-RVT risk as static and di...
Role of Robotics in Image-Guided Trans-Arterial Interventions.
Techniques in vascular and interventional radiology
Nov 22, 2024
The integration of robotic systems in image-guided trans-arterial interventions has revolutionized the field of Interventional Radiology (IR), offering enhanced precision, safety, and efficiency. These advancements are particularly impactful for acut...
Machine Learning Predicts Peripherally Inserted Central Catheters-Related Deep Vein Thrombosis Using Patient Features and Catheterization Technology Features.
Clinical nursing research
Jul 30, 2024
This study aims to use patient feature and catheterization technology feature variables to train the corresponding machine learning (ML) models to predict peripherally inserted central catheters-deep vein thrombosis (PICCs-DVT) and analyze the import...
Long-Term Mortality Predictors Using a Machine-Learning Approach in Patients With Chronic Limb-Threatening Ischemia After Peripheral Vascular Intervention.
Journal of the American Heart Association
May 18, 2024
BACKGROUND: Patients with chronic limb-threatening ischemia (CLTI) face a high long-term mortality risk. Identifying novel mortality predictors and risk profiles would enable individual health care plan design and improved survival. We aimed to lever...
Peripherally inserted central-related upper extremity deep vein thrombosis and machine learning.
Vascular
Feb 23, 2024
OBJECTIVE: To establish a prediction model of upper extremity deep vein thrombosis (UEDVT) associated with peripherally inserted central catheter (PICC) based on machine learning (ML), and evaluate the effect.
Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses.
The journal of vascular access
Mar 9, 2023
BACKGROUND: Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultr...
Development and validation of a predictive model for peripherally inserted central catheter-related thrombosis in breast cancer patients based on artificial neural network: A prospective cohort study.
International journal of nursing studies
Aug 8, 2022
BACKGROUND: Peripherally inserted central catheters have been extensively applied in clinical practices. However, they are associated with an increased risk of thrombosis. To improve patient care, it is critical to timely identify patients at risk of...
Detection of peripherally inserted central catheter (PICC) in chest X-ray images: A multi-task deep learning model.
Computer methods and programs in biomedicine
Jul 23, 2020
BACKGROUND AND OBJECTIVE: Peripherally inserted central catheter (PICC) is a novel drug delivery mode which has been widely used in clinical practice. However, long-term retention and some improper actions of patients may cause some severe complicati...
Machine learning approaches for risk assessment of peripherally inserted Central catheter-related vein thrombosis in hospitalized patients with cancer.
International journal of medical informatics
Jun 7, 2019
OBJECTIVE: The aim of this study was to conduct an effective assessment of peripherally inserted central venous catheter (PICC)-related thrombosis based on machine learning (ML) techniques considering genotype.
Flexible robotic catheters in the visceral segment of the aorta: advantages and limitations.
The Journal of cardiovascular surgery
Mar 19, 2018
Flexible robotic catheters are an emerging technology which provide an elegant solution to the challenges of conventional endovascular intervention. Originally developed for interventional cardiology and electrophysiology procedures, remotely steerab...
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