AIMC Topic: Predictive Value of Tests
Clear Filters Showing 691 to 700 of 2186 articles
Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass.
Nature communications
Mar 21, 2023
Left ventricular mass is a risk marker for cardiovascular events, and may indicate an underlying cardiomyopathy. Cardiac magnetic resonance is the gold-standard for left ventricular mass estimation, but is challenging to obtain at scale. Here, we use...
Deep Learning Prediction for Distal Aortic Remodeling After Thoracic Endovascular Aortic Repair in Stanford Type B Aortic Dissection.
Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists
Mar 16, 2023
PURPOSE: This study aimed to develop a deep learning model for predicting distal aortic remodeling after proximal thoracic endovascular aortic repair (TEVAR) in patients with Stanford type B aortic dissection (TBAD) using computed tomography angiogra...
Aorta, Thoracic
Aortic Dissection
Aortic Aneurysm, Thoracic
Treatment Outcome
Predictive Value of Tests
Radiographic Image Interpretation, Computer-Assisted
Computed Tomography Angiography
Aortography
Endovascular Aneurysm Repair
Blood Vessel Prosthesis Implantation
Endovascular Procedures
Vascular Remodeling
Aged
Adult
Male
Middle Aged
Deep Learning
Time Factors
Retrospective Studies
Female
Risk Factors
Humans
Decision Support Techniques
Effects of ultrasound with an automatic vessel detection system using artificial intelligence on the selection of puncture points among ultrasound beginner clinical nurses.
The journal of vascular access
Mar 9, 2023
BACKGROUND: Ultrasound guidance increases the success rate of peripheral intravenous catheter placement. However, the longer time required to obtain ultrasound-guided access poses difficulties for ultrasound beginners. Notably, interpretation of ultr...
Development and External Validation of a Machine Learning Model for Prediction of Lymph Node Metastasis in Patients with Prostate Cancer.
European urology oncology
Mar 1, 2023
BACKGROUND: Pelvic lymph node dissection (PLND) is the gold standard for diagnosis of lymph node involvement (LNI) in patients with prostate cancer. The Roach formula, Memorial Sloan Kettering Cancer Center (MSKCC) calculator, and Briganti 2012 nomog...
A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Feb 27, 2023
BACKGROUND: Cardiac shape modeling is a useful computational tool that has provided quantitative insights into the mechanisms underlying dysfunction in heart disease. The manual input and time required to make cardiac shape models, however, limits th...
Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population; a common mistake.
The international journal of cardiovascular imaging
Feb 24, 2023
Reliability (repeatability or agreement) is assessed by different statistical tests including Pearson r or Spearman rho which is one of the common mistakes in reliability analysis. Pearson r or Spearman rho correlation coefficient only assesses the l...
Super-resolution 4D flow MRI to quantify aortic regurgitation using computational fluid dynamics and deep learning.
The international journal of cardiovascular imaging
Feb 23, 2023
Changes in cardiovascular hemodynamics are closely related to the development of aortic regurgitation (AR), a type of valvular heart disease. Metrics derived from blood flows are used to indicate AR onset and evaluate its severity. These metrics can ...
Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model.
Endoscopy
Feb 13, 2023
BACKGROUND: We aimed to develop a convolutional neural network (CNN) model for detecting neoplastic lesions during real-time digital single-operator cholangioscopy (DSOC) and to clinically validate the model through comparisons with DSOC expert and n...
How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography.
Scientific reports
Feb 13, 2023
Recently, algorithms capable of assessing the severity of Coronary Artery Disease (CAD) in form of the Coronary Artery Disease-Reporting and Data System (CAD-RADS) grade from Coronary Computed Tomography Angiography (CCTA) scans using Deep Learning (...
A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation.
Medical & biological engineering & computing
Feb 11, 2023
Myocardial ischemia diagnosis with CT perfusion imaging (CTP) is important in coronary artery disease management. Traditional analysis procedure is time-consuming and error-prone due to the semi-manual and operator-dependent nature. To improve the di...
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