AIMC Topic: Stents

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Enhancing explainability of random survival forests in predicting stent patency risk for malignant colonic obstruction.

BMC gastroenterology
BACKGROUND: This study aims to enhance the explainability and predictive accuracy of the Random Survival Forest (RSF) algorithm in predicting stent patency risk for patients with malignant colonic obstruction.

Modular magnetic microrobot system for robust endoluminal navigation and high-radial force stent delivery in complex ductal anatomy.

Science advances
Endoluminal stent implantation is a common intervention strategy for treating obstructive lesions, but conventional delivery systems struggle to reach deep, tortuous ducts. To overcome this limitation, we present a magnetically controlled microrobot ...

Avoiding the complications of endoscopic retrograde cholangiopancreatography.

Current opinion in gastroenterology
PURPOSE OF REVIEW: To review the literature within the past 5 years on risk factors and prophylactic measures for avoiding the complications of endoscopic retrograde cholangiopancreatography (ERCP), including post-ERCP pancreatitis (PEP), post-ERCP c...

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

Journal of neurointerventional surgery
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 ...

Liquid-bodied antibiofilm robot with switchable viscoelastic response for biofilm eradication on complex surface topographies.

Science advances
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...

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
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...

Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial.

Journal of medical Internet research
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...

Machine learning and statistical shape modelling for real-time prediction of stent deployment in realistic anatomies.

Computer methods and programs in biomedicine
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...

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
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...