AIMC Topic: Sensitivity and Specificity

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Detection of rheumatoid arthritis from hand radiographs using a convolutional neural network.

Clinical rheumatology Mar 8, 2019
INTRODUCTION: Plain hand radiographs are the first-line and most commonly used imaging methods for diagnosis or differential diagnosis of rheumatoid arthritis (RA) and for monitoring disease activity. In this study, we used plain hand radiographs and...
Humans Neural Networks, Computer Sensitivity and Specificity Radiography Arthritis, Rheumatoid Hand
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A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.

European journal of cancer (Oxford, England : 1990) Mar 8, 2019
BACKGROUND: Recent studies have demonstrated the use of convolutional neural networks (CNNs) to classify images of melanoma with accuracies comparable to those achieved by board-certified dermatologists. However, the performance of a CNN exclusively ...
Humans Neural Networks, Computer Sensitivity and Specificity Melanoma Dermatologists Skin Neoplasms Dermatology Dermoscopy Image Interpretation, Computer-Assisted
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NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

PloS one Mar 8, 2019
INTRODUCTION: Using machine learning techniques, we developed a brief questionnaire to aid neurologists and neuropsychologists in the screening of mild cognitive impairment (MCI) and dementia.
Adult Sensitivity and Specificity Male Middle Aged Cognitive Dysfunction Dementia ROC Curve Diagnosis, Computer-Assisted Surveys and Questionnaires Machine Learning Neuropsychological Tests Humans Mass Screening Female Diagnosis, Differential Aged Area Under Curve Aged, 80 and over Geriatric Assessment
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Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI.

NeuroImage. Clinical Mar 6, 2019
Neuromelanin sensitive magnetic resonance imaging (NMS-MRI) has been crucial in identifying abnormalities in the substantia nigra pars compacta (SNc) in Parkinson's disease (PD) as PD is characterized by loss of dopaminergic neurons in the SNc. Curre...
Melanins Humans Multiple System Atrophy Biomarkers Magnetic Resonance Imaging Female Supranuclear Palsy, Progressive Male Parkinson Disease Sensitivity and Specificity Middle Aged Deep Learning Diagnosis, Differential Image Processing, Computer-Assisted Substantia Nigra Neuroimaging
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Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.

Computational and mathematical methods in medicine Mar 3, 2019
Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their performance is...
Young Adult Prognosis Image Processing, Computer-Assisted Mammography Adult Female Middle Aged Biopsy Humans Early Detection of Cancer Reproducibility of Results Deep Learning Breast Sensitivity and Specificity Aged Neural Networks, Computer Calcinosis Stochastic Processes Breast Neoplasms Software Algorithms
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Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization.

Journal of the American College of Radiology : JACR Mar 2, 2019
OBJECTIVE: Radiology is a finite health care resource in high demand at most health centers. However, anticipating fluctuations in demand is a challenge because of the inherent uncertainty in disease prognosis. The aim of this study was to explore th...
Sensitivity and Specificity Humans Machine Learning Male Databases, Factual Natural Language Processing Retrospective Studies Liver Neoplasms Middle Aged Research Report Area Under Curve Tomography, X-Ray Computed Carcinoma, Hepatocellular Health Resources Radiology Information Systems Female ROC Curve Radiology Department, Hospital Ontario Aged Predictive Value of Tests
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Detecting abnormal thyroid cartilages on CT using deep learning.

Diagnostic and interventional imaging Feb 25, 2019
PURPOSE: The purpose of this study was to evaluate the performance of a deep learning algorithm in detecting abnormalities of thyroid cartilage from computed tomography (CT) examination.
Deep Learning Thyroid Neoplasms Neoplasm Invasiveness Humans Algorithms Datasets as Topic Thyroid Cartilage Tomography, X-Ray Computed Sensitivity and Specificity
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Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy.

International ophthalmology Feb 23, 2019
PURPOSE: We investigated using ultrawide-field fundus images with a deep convolutional neural network (DCNN), which is a machine learning technology, to detect treatment-naïve proliferative diabetic retinopathy (PDR).
Aged Adult Sensitivity and Specificity Male Deep Learning Area Under Curve Ophthalmoscopy Middle Aged Diagnosis, Computer-Assisted Humans Diabetic Retinopathy Female
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A novel machine-learning-based infection screening system via 2013-2017 seasonal influenza patients' vital signs as training datasets.

The Journal of infection Feb 22, 2019
Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Humans Machine Learning Female Aged Predictive Value of Tests Influenza, Human Vital Signs Clinical Decision Rules Middle Aged Adolescent Child Mass Screening
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Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark.

European journal of cancer (Oxford, England : 1990) Feb 22, 2019
BACKGROUND: Several recent publications have demonstrated the use of convolutional neural networks to classify images of melanoma at par with board-certified dermatologists. However, the non-availability of a public human benchmark restricts the comp...
Germany Deep Learning Benchmarking Dermatologists Dermatology Melanoma Skin Neoplasms Sensitivity and Specificity Humans
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