AIMC Topic: Predictive Value of Tests
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Automated Detection and Diameter Estimation for Mouse Mesenteric Artery Using Semantic Segmentation.
Journal of vascular research
Jun 28, 2021
BACKGROUND: Pressurized myography is useful for the assessment of small artery structures and function. However, this procedure requires technical expertise for sample preparation and effort to choose an appropriate sized artery. In this study, we de...
Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality.
European journal of radiology
Jun 27, 2021
OBJECTIVES: To investigate the effect of reader experience, calcification and image quality on the performance of deep learning (DL) powered coronary CT angiography (CCTA) in automatically detecting obstructive coronary artery disease (CAD) with inva...
Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.
Journal of vascular surgery
Jun 25, 2021
OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing caroti...
Retrospective Studies
Carotid Stenosis
Humans
Cross-Sectional Studies
Hemodynamics
Severity of Illness Index
Comparative Effectiveness Research
Ultrasonography, Doppler
Magnetic Resonance Angiography
Predictive Value of Tests
California
Medical Records
Natural Language Processing
International Classification of Diseases
Asymptomatic Diseases
Data Mining
Computed Tomography Angiography
Novel Approaches to Detection of Cerebral Microbleeds: Single Deep Learning Model to Achieve a Balanced Performance.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jun 25, 2021
PURPOSE: Cerebral microbleeds (CMBs) are considered essential indicators for the diagnosis of cerebrovascular disease and cognitive disorders. Traditionally, CMBs are manually interpreted based on criteria including the shape, diameter, and signal ch...
Tissue outcome prediction in hyperacute ischemic stroke: Comparison of machine learning models.
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
Jun 23, 2021
Machine Learning (ML) has been proposed for tissue fate prediction after acute ischemic stroke (AIS), with the aim to help treatment decision and patient management. We compared three different ML models to the clinical method based on diffusion-perf...
Artificial intelligence-based endoscopic diagnosis of colorectal polyps using residual networks.
PloS one
Jun 22, 2021
Convolutional neural networks (CNNs) are widely used for artificial intelligence (AI)-based image classification. Residual network (ResNet) is a new technology that facilitates the accuracy of image classification by CNN-based AI. In this study, we d...
Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma.
The British journal of radiology
Jun 19, 2021
OBJECTIVE: This study aims to build machine learning-based CT radiomic features to predict patients developing metastasis after osteosarcoma diagnosis.
A Pragmatic Machine Learning Model To Predict Carbapenem Resistance.
Antimicrobial agents and chemotherapy
Jun 17, 2021
Infection caused by carbapenem-resistant (CR) organisms is a rising problem in the United States. While the risk factors for antibiotic resistance are well known, there remains a large need for the early identification of antibiotic-resistant infecti...
Harnessing Artificial Intelligence for Quantitative Assessment of Hemodynamic Congestion and Predicting Outcomes.
JACC. Cardiovascular imaging
Jun 16, 2021
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