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 Predictive Value of Tests Humans Reproducibility of Results Male Diagnosis, Computer-Assisted Pathologists Microscopy Image Interpretation, Computer-Assisted Observer Variation Prostatic Neoplasms Neoplasm Grading Biopsy
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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 Predictive Value of Tests Artificial Intelligence Emergency Medical Services Signal Processing, Computer-Assisted Ventricular Function, Left Dyspnea Ventricular Dysfunction, Left Heart Failure, Systolic Retrospective Studies Stroke Volume Middle Aged Systole Female Diagnosis, Computer-Assisted Cardiology Service, Hospital Reproducibility of Results 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 Prospective Studies Female Reproducibility of Results Aged Aged, 80 and over Predictive Value of Tests Heart Workflow Image Interpretation, Computer-Assisted Adolescent Heart Defects, Congenital Humans Time Factors 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 Middle Aged Ventricular Dysfunction, Left Aged Humans ROC Curve Adult Area Under Curve Machine Learning Imaging, Three-Dimensional Sensitivity and Specificity Female Coronary Angiography Models, Statistical Male Reproducibility of Results Percutaneous Coronary Intervention Predictive Value of Tests Echocardiography Risk Factors Myocardial Infarction Heart Ventricles
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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 Soft Tissue Neoplasms Adult Humans ROC Curve Male Magnetic Resonance Imaging Machine Learning Middle Aged Predictive Value of Tests Retrospective Studies 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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