AIMC Topic: Sensitivity and Specificity

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Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images.

Communications biology Jan 8, 2020
Retinal detachment can lead to severe visual loss if not treated timely. The early diagnosis of retinal detachment can improve the rate of successful reattachment and the visual results, especially before macular involvement. Manual retinal detachmen...
Male Middle Aged Deep Learning Adolescent Child Aged, 80 and over Young Adult Adult Sensitivity and Specificity Retinal Detachment ROC Curve Diagnostic Imaging Workflow Macula Lutea Humans Female Reproducibility of Results Aged
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Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis.

Journal of medical systems Jan 4, 2020
This paper dispenses an exhaustive review on deep learning techniques used in the prognosis of eight different neuropsychiatric and neurological disorders such as stroke, alzheimer, parkinson's, epilepsy, autism, migraine, cerebral palsy, and multipl...
Humans Neural Networks, Computer Sensitivity and Specificity Prevalence Deep Learning Image Processing, Computer-Assisted Nervous System Diseases
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Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression.

JAMA network open Jan 3, 2020
IMPORTANCE: Social and economic costs of depression are exacerbated by prolonged periods spent identifying treatments that would be effective for a particular patient. Thus, a tool that reliably predicts an individual patient's response to treatment ...
Machine Learning Electroencephalography Depressive Disorder, Major Adult Biomarkers Canada Sensitivity and Specificity Citalopram Humans Prognosis Treatment Outcome Male Antidepressive Agents, Second-Generation Support Vector Machine Female Middle Aged Predictive Value of Tests Reproducibility of Results
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A Convolutional Neural Network for Real Time Classification, Identification, and Labelling of Vocal Cord and Tracheal Using Laryngoscopy and Bronchoscopy Video.

Journal of medical systems Jan 2, 2020
BACKGROUND: The use of artificial intelligence, including machine learning, is increasing in medicine. Use of machine learning is rising in the prediction of patient outcomes. Machine learning may also be able to enhance and augment anesthesia clinic...
Neural Networks, Computer Machine Learning Algorithms Female Young Adult Child Sensitivity and Specificity Humans Bronchoscopy Trachea Male Vocal Cords Infant Laryngoscopy Adolescent Child, Preschool
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A quite sensitive fluorescent loop-mediated isothermal amplification for rapid detection of respiratory syncytial virus.

Journal of infection in developing countries Dec 31, 2019
INTRODUCTION: Human respiratory syncytial virus (hRSV) is a common respiratory virus closely related to respiratory tract infection (RTI). Rapid and accurate detection of hRSV is urgently needed to reduce the high morbidity and mortality due to hRSV ...
Respiratory Tract Infections Child, Preschool Humans Reverse Transcription Molecular Diagnostic Techniques Sensitivity and Specificity Nucleic Acid Amplification Techniques Infant Respiratory Syncytial Virus Infections China Respiratory Syncytial Virus, Human
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Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record.

Arthritis research & therapy Dec 30, 2019
BACKGROUND: Systemic sclerosis (SSc) is a rare disease with studies limited by small sample sizes. Electronic health records (EHRs) represent a powerful tool to study patients with rare diseases such as SSc, but validated methods are needed. We devel...
Sensitivity and Specificity Male Middle Aged International Classification of Diseases Scleroderma, Systemic Female Reproducibility of Results Aged Aged, 80 and over Adult Machine Learning Algorithms Databases, Factual Electronic Health Records Humans
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DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network.

BMC medical informatics and decision making Dec 30, 2019
BACKGROUND: Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation of FHR signals using common guidelines usually results in signif...
Humans Neural Networks, Computer Databases, Factual Pregnancy Cardiotocography Heart Rate, Fetal Female Fetal Diseases Sensitivity and Specificity Acidosis Diagnosis, Computer-Assisted Fetal Hypoxia Deep Learning
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Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network.

Journal of gastroenterology and hepatology Dec 27, 2019
BACKGROUND AND AIM: Detecting blood content in the gastrointestinal tract is one of the crucial applications of capsule endoscopy (CE). The suspected blood indicator (SBI) is a conventional tool used to automatically tag images depicting possible ble...
ROC Curve Area Under Curve Capsule Endoscopy Intestine, Small Blood Humans Neural Networks, Computer Retrospective Studies Sensitivity and Specificity Deep Learning
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Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

Computer methods and programs in biomedicine Dec 27, 2019
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.
Middle Aged Drug Discovery Humans Tuberculosis Neural Networks, Computer Aged, 80 and over ROC Curve Support Vector Machine Machine Learning Adult Gene Frequency Female Sensitivity and Specificity Polymorphism, Genetic Liver Reproducibility of Results Male Genomics Chemical and Drug Induced Liver Injury Taiwan Risk Factors Genotype Antitubercular Agents Aged
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Mild Dehydration Identification Using Machine Learning to Assess Autonomic Responses to Cognitive Stress.

Nutrients Dec 23, 2019
The feasibility of detecting mild dehydration by using autonomic responses to cognitive stress was studied. To induce cognitive stress, subjects ( = 17) performed the Stroop task, which comprised four minutes of rest and four minutes of test. Nine in...
Dehydration Galvanic Skin Response Stroop Test Autonomic Nervous System Humans Machine Learning Young Adult Male Adult Sensitivity and Specificity Stress, Psychological Cognition Support Vector Machine Heart Rate
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