AIMC Topic: Radial Artery
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Classification of coronary artery disease using radial artery pulse wave analysis via machine learning.
BMC medical informatics and decision making
Sep 16, 2024
BACKGROUND: Coronary artery disease (CAD) is a major global cardiovascular health threat and the leading cause of death in many countries. The disease has a significant impact in China, where it has become the leading cause of death. There is an urge...
Deep learning-based prediction of coronary artery calcium scoring in hemodialysis patients using radial artery calcification.
Seminars in dialysis
Jan 4, 2024
OBJECTIVE: This study used random forest model to explore the feasibility of radial artery calcification in prediction of coronary artery calcification in hemodialysis patients.
Predicting recurrent interventions after radiocephalic arteriovenous fistula creation with machine learning and the PREDICT-AVF web app.
The journal of vascular access
Dec 25, 2023
OBJECTIVE: Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines discourage ongoing access salvage attempts after two interventions prior to successful use or more than three interventions per year overall. The goal was to develop a tool for ...
Renal Dialysis
Time Factors
Mobile Applications
Canada
United States
Adult
Male
Middle Aged
Risk Assessment
Graft Occlusion, Vascular
Vascular Patency
Upper Extremity
Veins
Treatment Outcome
Predictive Value of Tests
Radial Artery
Recurrence
Arteriovenous Shunt, Surgical
Humans
Machine Learning
Decision Support Techniques
Prospective Studies
Clinical Decision-Making
Female
Risk Factors
Aged
Machine-Learning Classification of Pulse Waveform Quality.
Sensors (Basel, Switzerland)
Nov 8, 2022
Pulse measurements made using wearable devices can aid the monitoring of human physiological condition. Accurate estimation of waveforms is often difficult for nonexperts; motion artifacts may occur during tonometry measurements when the skin-sensor ...
Discrimination of vascular aging using the arterial pulse spectrum and machine-learning analysis.
Microvascular research
Sep 8, 2021
Aging contributes to the progression of vascular dysfunction and is a major nonreversible risk factor for cardiovascular disease. The aim of this study was to determine the effectiveness of using arterial pulse-wave measurements, frequency-domain pul...
Robotic-assisted transradial diagnostic coronary angiography.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Jan 4, 2018
Robotic percutaneous coronary interventions have recently been introduced in the cardiac catheterization laboratory. Robotics offers benefits of greater precision for stent placement and occupational hazard protection for operators and staff. First g...
The Pivotal Multicenter Trial of Ultrasound-Guided Percutaneous Arteriovenous Fistula Creation for Hemodialysis Access.
Journal of vascular and interventional radiology : JVIR
Dec 21, 2017
PURPOSE: To evaluate safety and efficacy of arteriovenous fistulas (AVFs) created with a thermal resistance anastomosis device.
Impact of coronary artery disease on augmentation index as measured by estimated central blood pressure: A case control study in Asian Indians.
Indian heart journal
Dec 6, 2017
AIMS: We compared various components of blood pressure and arterial stiffness of healthy control with those of coronary artery disease (CAD) patients using BP+ machine™.
Estimation of Pulse Transit Time From Radial Pressure Waveform Alone by Artificial Neural Network.
IEEE journal of biomedical and health informatics
Sep 1, 2017
OBJECTIVE: To validate the feasibility of the estimation of pulse transit time (PTT) by artificial neural network (ANN) from radial pressure waveform alone.
Predicting long-term patency of radiocephalic arteriovenous fistulas with machine learning and the PREDICT-AVF web app.
Scientific reports
Jun 1, 2025
The goal of this study was to expand our previously created prediction tool (PREDICT-AVF) and web app by estimating long-term primary and secondary patency of radiocephalic AVFs. The data source was 911 patients from PATENCY-1 and PATENCY-2 randomize...
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