AIMC Topic: Predictive Value of Tests

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Validation of a convolutional neural network algorithm for calcium score quantification using a multivendor dataset.

Journal of cardiovascular computed tomography Nov 7, 2023
Neural Networks, Computer Algorithms Predictive Value of Tests Calcium Humans
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Can machine learning provide preoperative predictions of biological hemostasis after extracorporeal circulation for cardiac surgery?

The Journal of thoracic and cardiovascular surgery Nov 4, 2023
OBJECTIVES: The goal of this study was to improve decision making regarding the transfusion of patients at the end of extracorporeal circulation for cardiac surgery through machine learning predictions of the evolution of platelets counts, prothrombi...
Clinical Decision-Making Female Aged Male Humans Machine Learning Prospective Studies Biomarkers Platelet Count Hemostasis Middle Aged Treatment Outcome Blood Transfusion Predictive Value of Tests Cardiac Surgical Procedures Extracorporeal Circulation Fibrinogen
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Letter to the Editor Regarding "Prediction of Progressive Collapse in Osteoporotic Vertebral Fractures Using Conventional Statistics and Machine Learning".

Spine Oct 31, 2023
Humans Machine Learning Disease Progression Predictive Value of Tests Spinal Fractures Osteoporotic Fractures
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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, 80 and over Male Humans Middle Aged Retrospective Studies Computed Tomography Angiography Female Aortic Aneurysm Reproducibility of Results Aortography Aged Endovascular Aneurysm Repair Radiographic Image Interpretation, Computer-Assisted Stents Blood Vessel Prosthesis Implantation Endovascular Procedures
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Deep learning assisted measurement of echocardiographic left heart parameters: improvement in interobserver variability and workflow efficiency.

The international journal of cardiovascular imaging Oct 23, 2023
Machine learning techniques designed to recognize views and perform measurements are increasingly used to address the need for automation of the interpretation of echocardiographic images. The current study was designed to determine whether a recentl...
Echocardiography, Three-Dimensional Humans Reproducibility of Results Echocardiography Deep Learning Predictive Value of Tests Workflow Heart Ventricles Observer Variation
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Prediction of visceral pleural invasion of clinical stage I lung adenocarcinoma using thoracoscopic images and deep learning.

Surgery today Oct 20, 2023
PURPOSE: To develop deep learning models using thoracoscopic images to identify visceral pleural invasion (VPI) in patients with clinical stage I lung adenocarcinoma, and to verify if these models can be applied clinically.
Aged Sensitivity and Specificity Thoracoscopy Male Humans Neoplasm Invasiveness Viscera Middle Aged Predictive Value of Tests Adenocarcinoma of Lung Neural Networks, Computer Deep Learning Neoplasm Staging Pleura Female ROC Curve Lung Neoplasms
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Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.

Academic radiology Oct 20, 2023
RATIONALE AND OBJECTIVES: Recurrence of hepatocellular carcinoma (HCC) is a major concern in its management. Accurately predicting the risk of recurrence is crucial for determining appropriate treatment strategies and improving patient outcomes. A ce...
Neoplasm Recurrence, Local Carcinoma, Hepatocellular Contrast Media Predictive Value of Tests Machine Learning Sensitivity and Specificity Humans Radiomics Liver Neoplasms
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Predicting meningioma grades and pathologic marker expression via deep learning.

European radiology Oct 19, 2023
OBJECTIVES: To establish a deep learning (DL) model for predicting tumor grades and expression of pathologic markers of meningioma.
Meningioma Meningeal Neoplasms Male Middle Aged Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Neoplasm Grading Ki-67 Antigen Female Aged Adult Biomarkers, Tumor Humans Retrospective Studies
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Evaluation of deep learning for detecting intraosseous jaw lesions in cone beam computed tomography volumes.

Oral surgery, oral medicine, oral pathology and oral radiology Oct 16, 2023
OBJECTIVE: The study aim was to develop and assess the performance of a deep learning (DL) algorithm in the detection of radiolucent intraosseous jaw lesions in cone beam computed tomography (CBCT) volumes.
Humans Software Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Algorithms Jaw Neoplasms Deep Learning Jaw Diseases Cone-Beam Computed Tomography Predictive Value of Tests
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Evaluation of an artificial intelligence-based system for echocardiographic estimation of right atrial pressure.

The international journal of cardiovascular imaging Sep 8, 2023
Current noninvasive estimation of right atrial pressure (RAP) by inferior vena cava (IVC) measurement during echocardiography may have significant inter-rater variability due to different levels of observers' experience. Therefore, there is a need to...
Predictive Value of Tests Heart Vena Cava, Inferior Atrial Pressure Humans Artificial Intelligence Echocardiography
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