AIMC Topic: Stents

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Real time artificial intelligence assisted carotid artery stenting: a preliminary experience.

Journal of neurointerventional surgery Mar 17, 2025
BACKGROUND: Neurointerventionalists must pay close attention to multiple devices on multiple screens simultaneously, which can lead to oversights and complications. Artificial intelligence (AI) has potential application in recognizing and monitoring ...
Humans Artificial Intelligence Male Middle Aged Stents Endovascular Procedures Carotid Stenosis Software Female Aged Aged, 80 and over
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Liquid-bodied antibiofilm robot with switchable viscoelastic response for biofilm eradication on complex surface topographies.

Science advances Mar 12, 2025
Recalcitrant biofilm infections pose a great challenge to human health. Micro- and nanorobots have been used to eliminate biofilm infections in hard-to-reach regions inside the body. However, applying antibiofilm robots under physiological conditions...
Surface Properties Elasticity Viscosity Mice Robotics Hydrogels Stents Animals Humans Swine Biofilms
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Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Feb 21, 2025
BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses mac...
Retrospective Studies Female Reproducibility of Results Aged Male Humans Machine Learning Stents Image Interpretation, Computer-Assisted Observer Variation Automation Ultrasonography, Interventional Middle Aged Coronary Vessels Percutaneous Coronary Intervention Severity of Illness Index Coronary Artery Disease Treatment Outcome Prosthesis Design Predictive Value of Tests
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Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial.

Journal of medical Internet research Jan 21, 2025
BACKGROUND: Ureteral stents, such as double-J stents, have become indispensable in urologic procedures but are associated with complications like hematuria and pain. While the advancement of artificial intelligence (AI) technology has led to its incr...
Male Middle Aged Stents Patient Satisfaction Ureter Ureteroscopy Female Aged Young Adult Adult Humans Artificial Intelligence
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Machine learning and statistical shape modelling for real-time prediction of stent deployment in realistic anatomies.

Computer methods and programs in biomedicine Jan 6, 2025
The rise in minimally invasive procedures has created a demand for efficient and reliable planning software to predict intra- and post-operative outcomes. Surrogate modelling has shown promise, but challenges remain, particularly in cardiovascular ap...
Computer Simulation Models, Statistical Stents Finite Element Analysis Humans Machine Learning Software
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Enhancing percutaneous coronary intervention using TriVOCTNet: a multi-task deep learning model for comprehensive intravascular optical coherence tomography analysis.

Physical and engineering sciences in medicine Jan 6, 2025
Neointimal coverage and stent apposition, as assessed from intravascular optical coherence tomography (IVOCT) images, are crucial for optimizing percutaneous coronary intervention (PCI). Existing state-of-the-art computer algorithms designed to autom...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence Percutaneous Coronary Intervention Stents
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Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI: The FLASH Trial.

JACC. Cardiovascular interventions Oct 30, 2024
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor.
Automation Coronary Vessels Time Factors Republic of Korea Treatment Outcome Humans Female Predictive Value of Tests Coronary Artery Disease Aged Coronary Angiography Artificial Intelligence Stents Tomography, Optical Coherence Male Percutaneous Coronary Intervention Prospective Studies Image Interpretation, Computer-Assisted Middle Aged
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Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting.

Journal of the American Heart Association Aug 27, 2024
BACKGROUND: Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision-making but remain limited. We developed machine learning algorithms that predict 1-year stroke o...
Middle Aged Risk Assessment Databases, Factual Time Factors Retrospective Studies Femoral Artery Treatment Outcome Risk Factors Predictive Value of Tests Female Carotid Stenosis Aged Humans Stroke Machine Learning Aged, 80 and over Stents Endovascular Procedures Male
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Development and validation of a machine learning-based, point-of-care risk calculator for post-ERCP pancreatitis and prophylaxis selection.

Gastrointestinal endoscopy Aug 13, 2024
BACKGROUND AND AIMS: A robust model of post-ERCP pancreatitis (PEP) risk is not currently available. We aimed to develop a machine learning-based tool for PEP risk prediction to aid in clinical decision making related to periprocedural prophylaxis se...
Pilot Projects ROC Curve Anti-Inflammatory Agents, Non-Steroidal Area Under Curve Cholangiopancreatography, Endoscopic Retrograde Pancreatitis Pancreatic Ducts Fluid Therapy Stents Humans Male Machine Learning Point-of-Care Systems Prospective Studies Middle Aged Clinical Decision-Making Risk Assessment Female Administration, Rectal Risk Factors Aged
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Deep learning reconstruction for coronary CT angiography in patients with origin anomaly, stent or bypass graft.

La Radiologia medica Jul 18, 2024
PURPOSE: To develop and validate a deep learning (DL)-model for automatic reconstruction for coronary CT angiography (CCTA) in patients with origin anomaly, stent or bypass graft.
Stents Coronary Artery Bypass Computed Tomography Angiography Coronary Vessel Anomalies Male Middle Aged Deep Learning Coronary Angiography Humans Retrospective Studies Female Aged
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