AIMC Topic: Sensitivity and Specificity

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Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets.

International journal of molecular sciences Jul 28, 2021
Drug-induced liver toxicity is one of the significant safety challenges for the patient's health and the pharmaceutical industry. It causes termination of drug candidates in clinical trials and also the retractions of approved drugs from the market. ...
Humans Chemical and Drug Induced Liver Injury Computer Simulation Sensitivity and Specificity Support Vector Machine Liver Models, Biological Data Accuracy Quantitative Structure-Activity Relationship
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Diagnosis of retinal disorders from Optical Coherence Tomography images using CNN.

PloS one Jul 27, 2021
An efficient automatic decision support system for detection of retinal disorders is important and is the need of the hour. Optical Coherence Tomography (OCT) is the current imaging modality for the early detection of retinal disorders non-invasively...
Macular Edema Macular Degeneration Retinal Diseases Choroidal Neovascularization ROC Curve Humans Area Under Curve Neural Networks, Computer Tomography, Optical Coherence Sensitivity and Specificity Retina
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Clinically applicable artificial intelligence system for dental diagnosis with CBCT.

Scientific reports Jul 22, 2021
In this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinica...
Stomatognathic Diseases Image Processing, Computer-Assisted Disease Management Observer Variation Humans Artificial Intelligence Sensitivity and Specificity Cone-Beam Computed Tomography
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Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning.

Cancer science Jul 21, 2021
Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new bisulfite-free technique, which can detect the whole-genome methylation of blood cell-free DNA (cfDNA). Using this technique, we identified differentia...
Humans Machine Learning Adult Sensitivity and Specificity Male Middle Aged Prognosis Female Aged Aged, 80 and over Multiple Pulmonary Nodules High-Throughput Nucleotide Sequencing Immunoprecipitation Case-Control Studies Lung Neoplasms DNA Methylation Cell-Free Nucleic Acids
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PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation.

PLoS computational biology Jul 21, 2021
Biomarkers predict World Trade Center-Lung Injury (WTC-LI); however, there remains unaddressed multicollinearity in our serum cytokines, chemokines, and high-throughput platform datasets used to phenotype WTC-disease. To address this concern, we used...
Reproducibility of Results Adult Sensitivity and Specificity Male Middle Aged Longitudinal Studies Models, Statistical Eye Proteins Humans Firefighters Machine Learning Inhalation Exposure Nerve Growth Factors Biomarkers September 11 Terrorist Attacks Lung Injury Occupational Diseases Serpins
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Affective State during Physiotherapy and Its Analysis Using Machine Learning Methods.

Sensors (Basel, Switzerland) Jul 16, 2021
Invasive or uncomfortable procedures especially during healthcare trigger emotions. Technological development of the equipment and systems for monitoring and recording psychophysiological functions enables continuous observation of changes to a situa...
Humans Machine Learning Female Sensitivity and Specificity Male Emotions Physical Therapy Modalities
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Value of a deep learning-based algorithm for detecting Lung-RADS category 4 nodules on chest radiographs in a health checkup population: estimation of the sample size for a randomized controlled trial.

European radiology Jul 15, 2021
OBJECTIVE: To explore the value of a deep learning-based algorithm in detecting Lung CT Screening Reporting and Data System category 4 nodules on chest radiographs from an asymptomatic health checkup population.
Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Algorithms Retrospective Studies Tomography, X-Ray Computed Humans Sensitivity and Specificity Lung Deep Learning Lung Neoplasms Sample Size
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Loop-mediated isothermal amplification (LAMP) and machine learning application for early pregnancy detection using bovine vaginal mucosal membrane.

Biochemical and biophysical research communications Jul 10, 2021
An early and accurate pregnancy diagnosis method is required to improve the reproductive performance of cows. Here we developed an easy pregnancy detection method using vaginal mucosal membrane (VMM) with application of Reverse Transcription-Loop-med...
CA-125 Antigen Ubiquitins Adaptor Proteins, Signal Transducing Gene Expression Mucous Membrane Vagina Reproducibility of Results Sensitivity and Specificity Animals Cattle RNA-Binding Proteins Molecular Diagnostic Techniques Membrane Proteins Nucleic Acid Amplification Techniques Cytokines Biomarkers Pregnancy Female Machine Learning
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Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks.

Dermatology (Basel, Switzerland) Jul 8, 2021
BACKGROUND: The number of naevi on a person is the strongest risk factor for melanoma; however, naevus counting is highly variable due to lack of consistent methodology and lack of inter-rater agreement. Machine learning has been shown to be a valuab...
Skin Neoplasms Reproducibility of Results Aged Adult Early Detection of Cancer Sensitivity and Specificity Humans Photography Male Neural Networks, Computer Whole Body Imaging Middle Aged Female Nevus Imaging, Three-Dimensional Melanoma
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Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans.

Scientific reports Jul 8, 2021
COVID-19 has crippled the world's healthcare systems, setting back the economy and taking the lives of several people. Although potential vaccines are being tested and supplied around the world, it will take a long time to reach every human being, mo...
Neural Networks, Computer COVID-19 Tomography, X-Ray Computed Reproducibility of Results Humans Sensitivity and Specificity Lung Datasets as Topic Early Diagnosis
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