AIMC Topic: Constriction, Pathologic

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Totally Intracorporeal Robot-assisted Unilateral or Bilateral Ileal Ureter Replacement for the Treatment of Ureteral Strictures: Technique and Outcomes from a Single Center.

European urology May 22, 2023
BACKGROUND: Few studies on totally intracorporeal robot-assisted ileal ureter replacement (RA-IUR) have been reported.
Treatment Outcome Robotics Robotic Surgical Procedures Constriction, Pathologic Ureter Humans Ureteral Obstruction Ileum Retrospective Studies
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Feasibility of accelerated non-contrast-enhanced whole-heart bSSFP coronary MR angiography by deep learning-constrained compressed sensing.

European radiology May 20, 2023
OBJECTIVES: To examine a compressed sensing artificial intelligence (CSAI) framework to accelerate image acquisition in non-contrast-enhanced whole-heart bSSFP coronary magnetic resonance (MR) angiography.
Prospective Studies Deep Learning Coronary Angiography Humans Artificial Intelligence Magnetic Resonance Angiography Computed Tomography Angiography Constriction, Pathologic Coronary Artery Disease Feasibility Studies
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Editorial Comment: On-Site Deep Learning-Based FFR-CT-A Novel Method to Evaluate Functionally Significant Stenosis.

AJR. American journal of roentgenology May 3, 2023
Humans Fractional Flow Reserve, Myocardial Coronary Angiography Constriction, Pathologic Coronary Stenosis Tomography, X-Ray Computed Deep Learning
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High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.

AJR. American journal of roentgenology May 3, 2023
Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assessing the hemodynamic significance of coronary lesions. However, clinical implementation has progressed slowly, partly because of off-site data transfer...
Deep Learning Predictive Value of Tests Coronary Angiography Aged Male Middle Aged Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Constriction, Pathologic Coronary Artery Disease Reference Standards Humans Algorithms Retrospective Studies Female Reproducibility of Results
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Coronary X-ray angiography segmentation using Artificial Intelligence: a multicentric validation study of a deep learning model.

The international journal of cardiovascular imaging Apr 7, 2023
INTRODUCTION: We previously developed an artificial intelligence (AI) model for automatic coronary angiography (CAG) segmentation, using deep learning. To validate this approach, the model was applied to a new dataset and results are reported.
Humans Artificial Intelligence Retrospective Studies Deep Learning Predictive Value of Tests Coronary Angiography Coronary Stenosis Constriction, Pathologic X-Rays
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Deep Learning Model for Coronary Angiography.

Journal of cardiovascular translational research Mar 16, 2023
The visual inspection of coronary artery stenosis is known to be significantly affected by variation, due to the presence of other tissues, camera movements, and uneven illumination. More accurate and intelligent coronary angiography diagnostic model...
Coronary Stenosis Humans Constriction, Pathologic Deep Learning Coronary Vessels Coronary Angiography Computed Tomography Angiography Heart
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Deep learning for automated, interpretable classification of lumbar spinal stenosis and facet arthropathy from axial MRI.

European radiology Mar 15, 2023
OBJECTIVES: To evaluate a deep learning model for automated and interpretable classification of central canal stenosis, neural foraminal stenosis, and facet arthropathy from lumbar spine MRI.
Constriction, Pathologic Lumbar Vertebrae Spinal Stenosis Joint Diseases Intervertebral Disc Retrospective Studies Deep Learning Magnetic Resonance Imaging Humans
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Deep Learning for Head and Neck CT Angiography: Stenosis and Plaque Classification.

Radiology Mar 7, 2023
Background Studies have rarely investigated stenosis detection from head and neck CT angiography scans because accurate interpretation is time consuming and labor intensive. Purpose To develop an automated convolutional neural network-based method fo...
Humans Deep Learning Constriction, Pathologic Computed Tomography Angiography Artificial Intelligence Retrospective Studies Male
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Deep Learning-Based Acceleration of Compressed Sensing for Noncontrast-Enhanced Coronary Magnetic Resonance Angiography in Patients With Suspected Coronary Artery Disease.

Journal of magnetic resonance imaging : JMRI Feb 27, 2023
BACKGROUND: The clinical application of coronary MR angiography (MRA) remains limited due to its long acquisition time and often unsatisfactory image quality. A compressed sensing artificial intelligence (CSAI) framework was recently introduced to ov...
Coronary Artery Disease Magnetic Resonance Angiography Deep Learning Coronary Angiography Constriction, Pathologic Humans Artificial Intelligence Female Sensitivity and Specificity Male
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A real-time interpretable artificial intelligence model for the cholangioscopic diagnosis of malignant biliary stricture (with videos).

Gastrointestinal endoscopy Feb 26, 2023
BACKGROUND AND AIMS: It is crucial to accurately determine malignant biliary strictures (MBSs) for early curative treatment. This study aimed to develop a real-time interpretable artificial intelligence (AI) system to predict MBSs under digital singl...
Constriction, Pathologic Prospective Studies Humans Area Under Curve Artificial Intelligence Laparoscopy
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