AIMC Topic: Sensitivity and Specificity

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Deep learning-based detection and classification of geographic atrophy using a deep convolutional neural network classifier.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Aug 8, 2018
PURPOSE: To automatically detect and classify geographic atrophy (GA) in fundus autofluorescence (FAF) images using a deep learning algorithm.
Female Reproducibility of Results Aged Sensitivity and Specificity Humans Neural Networks, Computer Machine Learning Algorithms Geographic Atrophy Tomography, Optical Coherence Fundus Oculi Healthy Volunteers Fluorescein Angiography Male Middle Aged Disease Progression Diagnosis, Computer-Assisted
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Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning.

PloS one Aug 8, 2018
BACKGROUND: Artificial intelligence (AI) techniques are increasingly applied to cardiovascular (CV) medicine in arenas ranging from genomics to cardiac imaging analysis. Cardiac Phase Space Tomography Analysis (cPSTA), employing machine-learned linea...
Humans Machine Learning Algorithms Female Multidetector Computed Tomography Aged Sensitivity and Specificity Male Middle Aged Predictive Value of Tests Coronary Angiography Coronary Artery Disease Diagnostic Techniques, Cardiovascular
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Monitoring significant ST changes through deep learning.

Journal of electrocardiology Aug 1, 2018
Clinical Alarms Humans Algorithms Risk Assessment Sensitivity and Specificity Deep Learning Electrocardiography, Ambulatory Arrhythmias, Cardiac
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Deep Tissue Sequencing Using Hypodermoscopy and Augmented Intelligence to Analyze Atypical Pigmented Lesions.

Journal of cutaneous medicine and surgery Aug 1, 2018
BACKGROUND: Over the past decade, new technologies, devices, and methods have been developed to assist in the diagnosis of cutaneous melanocytic lesions.
Female Melanoma Dermoscopy Young Adult Humans Artificial Intelligence Algorithms Child Image Interpretation, Computer-Assisted Melanocytes Nevus, Pigmented Adult Sensitivity and Specificity Male Adolescent
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Detection of early infarction signs with machine learning-based diagnosis by means of the Alberta Stroke Program Early CT score (ASPECTS) in the clinical routine.

Neuroradiology Jul 31, 2018
PURPOSE: New software solutions emerged to support radiologists in image interpretation in acute ischemic stroke. This study aimed to validate the performance of computer-aided assessment of the Alberta Stroke Program Early CT score (ASPECTS) for det...
Brain Ischemia Observer Variation Alberta Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Stroke Infarction, Middle Cerebral Artery Humans Machine Learning Software Adult Tomography, X-Ray Computed Sensitivity and Specificity Male Female Middle Aged Aged Aged, 80 and over
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Fast and Accurate Diagnosis of Autism (FADA): a novel hierarchical fuzzy system based autism detection tool.

Australasian physical & engineering sciences in medicine Jul 27, 2018
The main aim of this research work was to develop and validate a novel graphical user interface based hierarchical fuzzy autism detection tool named as "Fast and Accurate Diagnosis of Autism" for the diagnosis of autism disorder quickly and accuratel...
Female Reproducibility of Results Sensitivity and Specificity Male Humans User-Computer Interface Fuzzy Logic Child, Preschool Area Under Curve Child Discriminant Analysis ROC Curve Autistic Disorder
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Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT.

AJNR. American journal of neuroradiology Jul 26, 2018
BACKGROUND AND PURPOSE: Convolutional neural networks are a powerful technology for image recognition. This study evaluates a convolutional neural network optimized for the detection and quantification of intraparenchymal, epidural/subdural, and suba...
Deep Learning Imaging, Three-Dimensional Neuroimaging Intracranial Hemorrhages Humans Prospective Studies Tomography, X-Ray Computed Sensitivity and Specificity
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Diagnostic model for attention-deficit hyperactivity disorder based on interregional morphological connectivity.

Neuroscience letters Jul 19, 2018
Previous brain morphology-related diagnostic models for attention-deficit hyperactivity disorder (ADHD) were based on regional features. However, building a model of individual interregional morphological connectivity is a challenging task. This stud...
Attention Deficit Disorder with Hyperactivity Magnetic Resonance Imaging Humans Sensitivity and Specificity Brain Mapping Machine Learning Male Neural Pathways Brain Adolescent Nerve Net Female Child
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A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.

Gastrointestinal endoscopy Jul 11, 2018
BACKGROUND AND AIMS: GI angiectasia (GIA) is the most common small-bowel (SB) vascular lesion, with an inherent risk of bleeding. SB capsule endoscopy (SB-CE) is the currently accepted diagnostic procedure. The aim of this study was to develop a comp...
Capsule Endoscopy Intestine, Small Intestinal Diseases Angiodysplasia Male Middle Aged Diagnosis, Computer-Assisted Predictive Value of Tests Humans Neural Networks, Computer Algorithms Female Aged Aged, 80 and over Sensitivity and Specificity
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PCG Classification Using Multidomain Features and SVM Classifier.

BioMed research international Jul 9, 2018
This paper proposes a method using multidomain features and support vector machine (SVM) for classifying normal and abnormal heart sound recordings. The database was provided by the PhysioNet/CinC Challenge 2016. A total of 515 features are extracted...
Sensitivity and Specificity Humans Support Vector Machine Algorithms Entropy Databases, Factual Heart Sounds
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