AIMC Topic: Sensitivity and Specificity

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Deep learning-based classification of the mouse estrous cycle stages.

Scientific reports Jul 16, 2020
There is a rapidly growing demand for female animals in preclinical animal, and thus it is necessary to determine animals' estrous cycle stages from vaginal smear cytology. However, the determination of estrous stages requires extensive training, tak...
Data Accuracy Vagina Epithelial Cells Area Under Curve Leukocytes Estrous Cycle Female Adult Sensitivity and Specificity Animals Male Deep Learning ROC Curve Vaginal Smears Mice Mice, Inbred C57BL Humans Neural Networks, Computer
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Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma.

Nature communications Jul 16, 2020
Early cancer detection greatly increases the chances for successful treatment, but available diagnostics for some tumours, including lung adenocarcinoma (LA), are limited. An ideal early-stage diagnosis of LA for large-scale clinical use must address...
Humans Machine Learning Sensitivity and Specificity Adenocarcinoma of Lung Biomarkers, Tumor Lung Neoplasms Early Detection of Cancer Metabolomics Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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Predicting respiratory failure after pulmonary lobectomy using machine learning techniques.

Surgery Jul 15, 2020
BACKGROUND: When pulmonary complications occur, postlobectomy patients have a higher mortality rate, increased length of stay, and higher readmission rates. Because of a lack of high-quality consolidated clinical data, it is challenging to assess and...
Adolescent Pneumonectomy Respiratory Insufficiency Machine Learning Middle Aged Clinical Decision-Making Risk Assessment Female Postoperative Complications Risk Factors Lung Aged, 80 and over Aged Humans Young Adult Adult Sensitivity and Specificity Male
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Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm.

Parasites & vectors Jul 11, 2020
BACKGROUND: Fecal examination is an important component of routine companion animal wellness exams. Sensitivity and specificity of fecal examinations, however, are influenced by sample preparation methodologies and the level of training and experienc...
Trichuris Feces Sensitivity and Specificity Dogs Parasite Egg Count Animals Dog Diseases Ancylostoma Deep Learning Cats Helminthiasis, Animal Cat Diseases Taenia Toxocara
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Using Sensor Data to Detect Lameness and Mastitis Treatment Events in Dairy Cows: A Comparison of Classification Models.

Sensors (Basel, Switzerland) Jul 10, 2020
The aim of this study was to develop classification models for mastitis and lameness treatments in Holstein dairy cows as the target variables based on continuous data from herd management software with modern machine learning methods. Data was colle...
Machine Learning Female Sensitivity and Specificity Animals Lameness, Animal Dairying Cattle Mastitis Bayes Theorem Milk
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Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning.

Journal of hematology & oncology Jul 3, 2020
Due to acromegaly's insidious onset and slow progression, its diagnosis is usually delayed, thus causing severe complications and treatment difficulty. A convenient screening method is imperative. Based on our previous work, we herein developed a new...
Adult Sensitivity and Specificity Male Middle Aged Severity of Illness Index Humans Algorithms Female Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Datasets as Topic Models, Theoretical Cephalometry Face Acromegaly Photography Diagnostic Self Evaluation
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An artificial neural network approach for predicting hypertension using NHANES data.

Scientific reports Jun 30, 2020
This paper focus on a neural network classification model to estimate the association among gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It also shows that artificial neural network techniques applied to larg...
Nutrition Surveys Risk Factors Humans Sex Factors Adult Neural Networks, Computer Hypertension Smoking Sensitivity and Specificity Algorithms Body Mass Index Male Female Age Factors Middle Aged Models, Statistical
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COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation.

Journal of medical Internet research Jun 29, 2020
BACKGROUND: Coronavirus disease (COVID-19) has spread explosively worldwide since the beginning of 2020. According to a multinational consensus statement from the Fleischner Society, computed tomography (CT) is a relevant screening tool due to its hi...
Pneumonia, Viral Male Humans Tomography, X-Ray Computed Middle Aged Pandemics Female Deep Learning COVID-19 SARS-CoV-2 Coronavirus Infections Betacoronavirus Sensitivity and Specificity
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Artificial intelligence for the detection of esophageal and esophagogastric junctional adenocarcinoma.

Journal of gastroenterology and hepatology Jun 27, 2020
BACKGROUND AND AIM: Conventional endoscopy for the early detection of esophageal and esophagogastric junctional adenocarcinoma (E/J cancer) is limited because early lesions are asymptomatic, and the associated changes in the mucosa are subtle. There ...
Humans Artificial Intelligence Female Aged Aged, 80 and over Adult Stomach Neoplasms Sensitivity and Specificity Male Early Detection of Cancer Middle Aged Esophageal Neoplasms Deep Learning Asia Image Processing, Computer-Assisted Esophagogastric Junction Adenocarcinoma
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Efficiency of a computer-aided diagnosis (CAD) system with deep learning in detection of pulmonary nodules on 1-mm-thick images of computed tomography.

Japanese journal of radiology Jun 26, 2020
PURPOSE: To evaluate the performance of a deep learning-based computer-aided diagnosis (CAD) system at detecting pulmonary nodules on CT by comparing radiologists' readings with and without CAD.
Young Adult Adult Solitary Pulmonary Nodule Humans Lung Radiographic Image Interpretation, Computer-Assisted Female Sensitivity and Specificity Retrospective Studies Diagnosis, Computer-Assisted Male Middle Aged Reproducibility of Results Aged Aged, 80 and over Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Tomography, X-Ray Computed
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