AIMC Topic: Sensitivity and Specificity

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A novel feature extraction technique for pulmonary sound analysis based on EMD.

Computer methods and programs in biomedicine Mar 22, 2018
BACKGROUND AND OBJECTIVE: The stethoscope based auscultation technique is a primary diagnostic tool for chest sound analysis. However, the performance of this method is limited due to its dependency on physicians experience, knowledge and also clarit...
Humans Neural Networks, Computer Algorithms Models, Statistical Signal Processing, Computer-Assisted Pattern Recognition, Automated Wavelet Analysis Sensitivity and Specificity Lung India Support Vector Machine Stethoscopes Auscultation Respiratory Sounds
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Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept.

Journal of vascular and interventional radiology : JVIR Mar 14, 2018
PURPOSE: To use magnetic resonance (MR) imaging and clinical patient data to create an artificial intelligence (AI) framework for the prediction of therapeutic outcomes of transarterial chemoembolization by applying machine learning (ML) techniques.
Doxorubicin Chemoembolization, Therapeutic Ethiodized Oil Adult Machine Learning Contrast Media Sensitivity and Specificity Retrospective Studies Magnetic Resonance Imaging Male Female Predictive Value of Tests Middle Aged Aged Humans Neoplasm Staging Antineoplastic Agents Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome
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Predicting urinary tract infections in the emergency department with machine learning.

PloS one Mar 7, 2018
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with reported high diagnostic error rates. Because a urine culture, part of the gold standard for diagnosis of UTI, is usually not available for 24-48 hours aft...
Female Humans ROC Curve Urine Predictive Value of Tests False Positive Reactions Machine Learning Sensitivity and Specificity Area Under Curve Urinary Tract Infections Retrospective Studies Male Emergency Service, Hospital Middle Aged Models, Biological Early Diagnosis False Negative Reactions
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Acral melanoma detection using a convolutional neural network for dermoscopy images.

PloS one Mar 7, 2018
BACKGROUND/PURPOSE: Acral melanoma is the most common type of melanoma in Asians, and usually results in a poor prognosis due to late diagnosis. We applied a convolutional neural network to dermoscopy images of acral melanoma and benign nevi on the h...
Melanoma Skin Neoplasms Dermoscopy Sensitivity and Specificity Early Detection of Cancer Humans Skin Neural Networks, Computer Hand Image Interpretation, Computer-Assisted Foot
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Two-stage approach for risk estimation of fetal trisomy 21 and other aneuploidies using computational intelligence systems.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Mar 4, 2018
OBJECTIVE: To estimate the risk of fetal trisomy 21 (T21) and other chromosomal abnormalities (OCA) at 11-13 weeks' gestation using computational intelligence classification methods.
Humans Risk Assessment Artificial Intelligence Pregnancy Trimester, First Pregnancy Down Syndrome Female Prenatal Diagnosis Sensitivity and Specificity
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Tissue classification and segmentation of pressure injuries using convolutional neural networks.

Computer methods and programs in biomedicine Mar 3, 2018
BACKGROUND AND OBJECTIVES: This paper presents a new approach for automatic tissue classification in pressure injuries. These wounds are localized skin damages which need frequent diagnosis and treatment. Therefore, a reliable and accurate systems fo...
Models, Anatomic Models, Statistical Necrosis Wounds and Injuries Pressure Ulcer Neural Networks, Computer Algorithms Databases, Factual Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Image Processing, Computer-Assisted Wound Healing Humans
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Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.

Medical image analysis Feb 27, 2018
Accurate segmentation of perivascular spaces (PVSs) is an important step for quantitative study of PVS morphology. However, since PVSs are the thin tubular structures with relatively low contrast and also the number of PVSs is often large, it is chal...
Reproducibility of Results Sensitivity and Specificity Imaging, Three-Dimensional Magnetic Resonance Imaging Pattern Recognition, Automated Image Enhancement Lymphatic System Humans Neural Networks, Computer Algorithms Brain
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Automated Interpretation of Blood Culture Gram Stains by Use of a Deep Convolutional Neural Network.

Journal of clinical microbiology Feb 22, 2018
Microscopic interpretation of stained smears is one of the most operator-dependent and time-intensive activities in the clinical microbiology laboratory. Here, we investigated application of an automated image acquisition and convolutional neural net...
Image Interpretation, Computer-Assisted Phenazines Gentian Violet Deep Learning Big Data Blood Culture Humans Microscopy Neural Networks, Computer Algorithms Automation, Laboratory Reproducibility of Results Sensitivity and Specificity
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Predicting treatment outcome of drug-susceptible tuberculosis patients using machine-learning models.

Informatics for health & social care Feb 20, 2018
Tuberculosis (TB) is a deadly contagious disease and a serious global health problem. It is curable but due to its lengthy treatment process, a patient is likely to leave the treatment incomplete, leading to a more lethal, drug resistant form of dise...
Humans Directly Observed Therapy Interatrial Block Machine Learning Decision Trees Sensitivity and Specificity Antitubercular Agents Treatment Outcome Tuberculosis Models, Statistical Assessment of Medication Adherence
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High efficiency classification of children with autism spectrum disorder.

PloS one Feb 15, 2018
Autism spectrum disorder (ASD) is a wide-ranging collection of developmental diseases with varying symptoms and degrees of disability. Currently, ASD is diagnosed mainly with psychometric tools, often unable to provide an early and reliable diagnosis...
Humans Biomarkers Autism Spectrum Disorder Sensitivity and Specificity Child Support Vector Machine Least-Squares Analysis
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