AIMC Topic: Stents
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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.
Risk prediction of cholangitis after stent implantation based on machine learning.
Scientific reports
Jun 14, 2024
The risk of cholangitis after ERCP implantation in malignant obstructive jaundice patients remains unknown. To develop models based on artificial intelligence methods to predict cholangitis risk more accurately, according to patients after stent impl...
Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning.
Journal of the American Heart Association
Apr 19, 2024
BACKGROUND: Lower extremity endovascular revascularization for peripheral artery disease carries nonnegligible perioperative risks; however, outcome prediction tools remain limited. Using machine learning, we developed automated algorithms that predi...
Bridging the gap: robotic applications in cerebral aneurysms neurointerventions - a systematic review.
Neurosurgical review
Apr 11, 2024
Cerebral aneurysm is a life-threatening condition, which requires high precision during the neurosurgical procedures. Increasing progress of evaluating modern devices in medicine have led to common usage of robotic systems in many fields, including c...
Transcatheter Aortic Valve Replacement and Coronary Protection Guided by Deep Learning and 3-Dimensional Printing.
Surgical innovation
Apr 2, 2024
OBJECTIVE: In this case report, the auxiliary role of deep learning and 3-dimensional printing technology in the perioperative period was discussed to guide transcatheter aortic valve replacement and coronary stent implantation simultaneously.
A physics-informed deep learning framework for modeling of coronary in-stent restenosis.
Biomechanics and modeling in mechanobiology
Jan 18, 2024
Machine learning (ML) techniques have shown great potential in cardiovascular surgery, including real-time stenosis recognition, detection of stented coronary anomalies, and prediction of in-stent restenosis (ISR). However, estimating neointima evolu...
Research on augmented reality navigation of in vitro fenestration of stent-graft based on deep learning and virtual-real registration.
Computer assisted surgery (Abingdon, England)
Dec 7, 2023
OBJECTIVES: fenestration of stent-graft (IVFS) demands high-precision navigation methods to achieve optimal surgical outcomes. This study aims to propose an augmented reality (AR) navigation method for IVFS, which can provide overlay display to loc...
Artificial Intelligence-Assisted Sac Diameter Assessment for Complex Endovascular Aortic Repair.
Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
Oct 30, 2023
PURPOSE: Artificial intelligence (AI) using an automated, deep learning-based method, Augmented Radiology for Vascular Aneurysm (ARVA), has been verified as a viable aide in aneurysm morphology assessment. The aim of this study was to evaluate the ac...
Deep Learning
Treatment Outcome
Predictive Value of Tests
Aortic Aneurysm, Abdominal
Aged
Aged, 80 and over
Male
Middle Aged
Computed Tomography Angiography
Aortic Aneurysm
Aortography
Endovascular Aneurysm Repair
Humans
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Stents
Female
Blood Vessel Prosthesis Implantation
Reproducibility of Results
Endovascular Procedures
Super-resolution deep learning reconstruction at coronary computed tomography angiography to evaluate the coronary arteries and in-stent lumen: an initial experience.
BMC medical imaging
Oct 30, 2023
A super-resolution deep learning reconstruction (SR-DLR) algorithm trained using data acquired on the ultrahigh spatial resolution computed tomography (UHRCT) has the potential to provide better image quality of coronary arteries on the whole-heart, ...
Coronary computed tomography angiographic detection of in-stent restenosis via deep learning reconstruction: a feasibility study.
European radiology
Sep 6, 2023
OBJECTIVES: Evaluation of in-stent restenosis (ISR), especially for small stents, remains challenging during computed tomography (CT) angiography. We used deep learning reconstruction to quantify stent strut thickness and lumen vessel diameter at the...
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