AIMC Topic: Predictive Value of Tests

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Effect of vessel wall segmentation on volumetric and radiomic parameters of coronary plaques with adverse characteristics.

Journal of cardiovascular computed tomography Aug 10, 2020
BACKGROUND: Quantitative coronary plaque parameters are increasingly being utilized as surrogate endpoints of pharmaceutical trials. However, little is known whether differences in segmentation significantly alter parameter values.
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Middle Aged Severity of Illness Index Clinical Competence Predictive Value of Tests Coronary Angiography Retrospective Studies Female Reproducibility of Results Aged Male Humans Machine Learning
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A machine learning approach identified a diagnostic model for pancreatic cancer through using circulating microRNA signatures.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Aug 9, 2020
Late diagnosis of pancreatic cancer (PC) due to the limited effectiveness of modern testing approaches, causes many patients to miss the chance of surgery and consequently leads to a high mortality rate. Pivotal improvements in circulating microRNA e...
Early Detection of Cancer MicroRNAs Pancreatic Neoplasms Predictive Value of Tests Principal Component Analysis Algorithms Reproducibility of Results Sensitivity and Specificity Computational Biology Gene Expression Regulation, Neoplastic Survival Analysis Microarray Analysis Kaplan-Meier Estimate Circulating MicroRNA Humans Neural Networks, Computer Machine Learning
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Reliability and accuracy of EEG interpretation for estimating age in preterm infants.

Annals of clinical and translational neurology Aug 7, 2020
OBJECTIVES: To determine the accuracy of, and agreement among, EEG and aEEG readers' estimation of maturity and a novel computational measure of functional brain age (FBA) in preterm infants.
Machine Learning Brain Infant, Newborn Reproducibility of Results Diagnosis, Computer-Assisted Humans Neonatology Predictive Value of Tests Electroencephalography Brain Diseases Infant, Premature Gestational Age
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Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Aug 5, 2020
The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffers from significant observer variability. Artificial intelligence (AI) systems based on deep learning can achieve pathologist-level performance at Gle...
Deep Learning Pathologists Predictive Value of Tests Microscopy Prostatic Neoplasms Neoplasm Grading Image Interpretation, Computer-Assisted Humans Biopsy Observer Variation Reproducibility of Results Male Diagnosis, Computer-Assisted
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Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.

Circulation. Arrhythmia and electrophysiology Aug 4, 2020
BACKGROUND: Identification of systolic heart failure among patients presenting to the emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea are often multifactorial. A focused physical evaluation and diagnostic testing ...
Humans Artificial Intelligence Predictive Value of Tests Emergency Medical Services Ventricular Function, Left Signal Processing, Computer-Assisted Heart Failure, Systolic Retrospective Studies Stroke Volume Dyspnea Systole Female Middle Aged Ventricular Dysfunction, Left Cardiology Service, Hospital Reproducibility of Results Diagnosis, Computer-Assisted Electrocardiography Aged Male
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Rapid whole-heart CMR with single volume super-resolution.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 3, 2020
BACKGROUND: Three-dimensional, whole heart, balanced steady state free precession (WH-bSSFP) sequences provide delineation of intra-cardiac and vascular anatomy. However, they have long acquisition times. Here, we propose significant speed-ups using ...
Young Adult Adult Male Middle Aged Deep Learning Predictive Value of Tests Prospective Studies Heart Female Workflow Reproducibility of Results Adolescent Image Interpretation, Computer-Assisted Aged Heart Defects, Congenital Time Factors Aged, 80 and over Humans Child, Preschool Child Magnetic Resonance Imaging
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A Transparent and Adaptable Method to Extract Colonoscopy and Pathology Data Using Natural Language Processing.

Journal of medical systems Jul 31, 2020
Key variables recorded as text in colonoscopy and pathology reports have been extracted using natural language processing (NLP) tools that were not easily adaptable to new settings. We aimed to develop a reliable NLP tool with broad adaptability. Dur...
Colonoscopy Predictive Value of Tests Natural Language Processing Humans Data Analysis Delivery of Health Care Sensitivity and Specificity
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A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling.

Journal of healthcare engineering Jul 30, 2020
Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with tra...
Ventricular Remodeling Ventricular Dysfunction, Left Aged Humans Middle Aged Area Under Curve Machine Learning Adult Coronary Angiography ROC Curve Female Sensitivity and Specificity Percutaneous Coronary Intervention Imaging, Three-Dimensional Reproducibility of Results Male Myocardial Infarction Models, Statistical Risk Factors Echocardiography Heart Ventricles Predictive Value of Tests
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Soft Tissue Sarcoma: Preoperative MRI-Based Radiomics and Machine Learning May Be Accurate Predictors of Histopathologic Grade.

AJR. American journal of roentgenology Jul 29, 2020
The purpose of this study was to assess the value of radiomics features for differentiating soft tissue sarcomas (STSs) of different histopathologic grades. The T1-weighted and fat-suppressed T2-weighted MR images of 70 STSs of varying grades (35 l...
Female Aged Adult Male Humans Middle Aged ROC Curve Soft Tissue Neoplasms Machine Learning Magnetic Resonance Imaging Retrospective Studies Predictive Value of Tests Neoplasm Grading Sarcoma
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Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.

Journal of gastroenterology and hepatology Jul 28, 2020
BACKGROUND AND AIM: Magnifying endoscopy with narrow-band imaging (ME-NBI) has made a huge contribution to clinical practice. However, acquiring skill at ME-NBI diagnosis of early gastric cancer (EGC) requires considerable expertise and experience. R...
Stomach Neoplasms Sensitivity and Specificity Male Middle Aged Early Detection of Cancer Predictive Value of Tests Endoscopy, Gastrointestinal Narrow Band Imaging Artificial Intelligence Female Aged Aged, 80 and over Adult Humans Neural Networks, Computer
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