AIMC Topic: Sensitivity and Specificity

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Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.

RMD open Jul 18, 2019
OBJECTIVE: To assess the current use of big data and artificial intelligence (AI) in the field of rheumatic and musculoskeletal diseases (RMDs).
Advisory Committees Rheumatic Diseases Radiology Publications Musculoskeletal Diseases Machine Learning Humans Information Storage and Retrieval Sensitivity and Specificity Big Data Neural Networks, Computer Europe Artificial Intelligence
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Depression recognition using machine learning methods with different feature generation strategies.

Artificial intelligence in medicine Jul 17, 2019
The diagnosis of depression almost exclusively depends on doctor-patient communication and scale analysis, which have the obvious disadvantages such as patient denial, poor sensitivity, subjective biases and inaccuracy. An objective, automated method...
China Depression Emotions Electroencephalography Machine Learning Sensitivity and Specificity Signal Processing, Computer-Assisted Deep Learning Humans Face Neural Networks, Computer Diagnostic and Statistical Manual of Mental Disorders
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Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier.

Journal of medical systems Jul 17, 2019
Cervical cancer is the fourth most communal malignant disease amongst women worldwide. In maximum circumstances, cervical cancer indications are not perceptible at its initial stages. There are a proportion of features that intensify the threat of em...
Smoking Hormonal Contraception Sexually Transmitted Diseases Age Factors Principal Component Analysis Sexual Behavior Humans Machine Learning Algorithms Female Risk Factors Sensitivity and Specificity Uterine Cervical Neoplasms Support Vector Machine
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Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records.

American journal of ophthalmology Jul 16, 2019
PURPOSE: To predict the need for surgical intervention in patients with primary open-angle glaucoma (POAG) using systemic data in electronic health records (EHRs).
Models, Statistical Odds Ratio Electronic Health Records Middle Aged Glaucoma, Open-Angle Female Humans Disease Progression Filtering Surgery Reproducibility of Results Machine Learning Aged, 80 and over ROC Curve Aged Retrospective Studies Sensitivity and Specificity Intraocular Pressure Male
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Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings.

Medical image analysis Jul 11, 2019
Early diagnosis of sacroiliitis may lead to preventive treatment which can significantly improve the patient's quality of life in the long run. Oftentimes, a CT scan of the lower back or abdomen is acquired for suspected back pain. However, since the...
Sacroiliitis Humans Deep Learning Radiographic Image Interpretation, Computer-Assisted Algorithms Supervised Machine Learning Tomography, X-Ray Computed Incidental Findings Sensitivity and Specificity
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Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network.

Artificial intelligence in medicine Jul 10, 2019
Diabetic retinopathy (DR) is the most common cause of blindness in middle-age subjects and low DR screening rates demonstrates the need for an automated image assessment system, which can benefit from the development of deep learning techniques. Ther...
Deep Learning ROC Curve Fundus Oculi Diabetic Retinopathy Humans Neural Networks, Computer Sensitivity and Specificity Diagnosis, Computer-Assisted
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MAPGI: Accurate identification of anatomical landmarks and diseased tissue in gastrointestinal tract using deep learning.

Computers in biology and medicine Jul 10, 2019
Automatic detection of anatomical landmarks and diseases in medical images is a challenging task which could greatly aid medical diagnosis and reduce the cost and time of investigational procedures. Also, two particular challenges of digital image pr...
Image Processing, Computer-Assisted Anatomic Landmarks Endoscopy, Gastrointestinal Gastrointestinal Tract Humans Databases, Factual Sensitivity and Specificity Deep Learning
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Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture.

World neurosurgery Jul 9, 2019
BACKGROUND: Machine learning (ML) has been increasingly used in medicine and neurosurgery. We sought to determine whether ML models can distinguish ruptured from unruptured aneurysms and identify features associated with rupture.
Hyperlipidemias Smoking Aneurysm, Ruptured Sensitivity and Specificity Intracranial Aneurysm Humans Retrospective Studies Male Case-Control Studies Middle Aged Machine Learning Hypertension Female Comorbidity Diabetes Mellitus Aged Support Vector Machine Adult
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Optical screening of hepatitis-B infected blood sera using optical technique and neural network classifier.

Photodiagnosis and photodynamic therapy Jul 9, 2019
In this study we demonstrate the analysis of biochemical changes in the human blood sera infected with Hepatitis B virus (HBV) using Raman spectroscopy. In total, 120 diseased blood samples and 170 healthy blood samples, collected from Pakistan Atomi...
Humans Neural Networks, Computer Pakistan Bilirubin Tryptophan Phenylalanine Sensitivity and Specificity Hepatitis B Spectrum Analysis, Raman Predictive Value of Tests Serum Albumin
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Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists.

Radiology Jul 9, 2019
BackgroundManagement of thyroid nodules may be inconsistent between different observers and time consuming for radiologists. An artificial intelligence system that uses deep learning may improve radiology workflow for management of thyroid nodules.Pu...
Humans Retrospective Studies Female Reproducibility of Results Thyroid Gland Ultrasonography Thyroid Nodule Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Middle Aged Deep Learning
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