AIMC Topic: Sensitivity and Specificity

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Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots.

Journal of visualized experiments : JoVE Feb 11, 2022
The emergence of the recent SARS-CoV-2 global health crisis introduced key challenges for epidemiological research and clinical testing. Characterized by a high rate of transmission and low mortality, the COVID-19 pandemic necessitated accurate and e...
Humans Sensitivity and Specificity Reverse Transcriptase Polymerase Chain Reaction Robotics RNA, Viral Pandemics COVID-19 SARS-CoV-2 COVID-19 Nucleic Acid Testing Saliva Specimen Handling Nasopharynx
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A non-invasive method for concurrent detection of early-stage women-specific cancers.

Scientific reports Feb 10, 2022
We integrated untargeted serum metabolomics using high-resolution mass spectrometry with data analysis using machine learning algorithms to accurately detect early stages of the women specific cancers of breast, endometrium, cervix, and ovary across ...
Mass Spectrometry Early Detection of Cancer Metabolomics Genital Neoplasms, Female Breast Neoplasms Biomarkers, Tumor Data Analysis Middle Aged Female Humans Aged Machine Learning Women's Health Aged, 80 and over Adult Young Adult Sensitivity and Specificity
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Detecting obstructive sleep apnea by craniofacial image-based deep learning.

Sleep & breathing = Schlaf & Atmung Feb 7, 2022
STUDY OBJECTIVES: This study aimed to develop a deep learning-based model to detect obstructive sleep apnea (OSA) using craniofacial photographs.
Deep Learning Sleep Apnea, Obstructive Humans ROC Curve Sensitivity and Specificity Polysomnography
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Identification of parameters and formulation of a statistical and machine learning model to identify Babesia canis infections in dogs using available ADVIA hematology analyzer data.

Parasites & vectors Jan 29, 2022
BACKGROUND: Canine babesiosis is an important tick-borne disease in endemic regions. One of the relevant subspecies in Europe is Babesia canis, and it can cause severe clinical signs such as hemolytic anemia. Apart from acute clinical symptoms dogs c...
Parasitemia Reproducibility of Results Hematology Machine Learning Sensitivity and Specificity Babesia Babesiosis Animals Dogs Dog Diseases
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Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps.

European radiology Jan 26, 2022
OBJECTIVES: To investigate the differentiation of premalignant from benign colorectal polyps detected by CT colonography using deep learning.
Aged Sensitivity and Specificity Colorectal Neoplasms Male Colonic Polyps Middle Aged Humans Precancerous Conditions Colonoscopy Retrospective Studies Colonography, Computed Tomographic Deep Learning
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A multiple testing framework for diagnostic accuracy studies with co-primary endpoints.

Statistics in medicine Jan 25, 2022
Major advances have been made regarding the utilization of machine learning techniques for disease diagnosis and prognosis based on complex and high-dimensional data. Despite all justified enthusiasm, overoptimistic assessments of predictive performa...
Humans Bayes Theorem Prognosis Machine Learning Sensitivity and Specificity Algorithms
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The application of a deep learning system developed to reduce the time for RT-PCR in COVID-19 detection.

Scientific reports Jan 24, 2022
Reducing the time to diagnose COVID-19 helps to manage insufficient isolation-bed resources and adequately accommodate critically ill patients. There is currently no alternative method to real-time reverse transcriptase polymerase chain reaction (RT-...
Humans Deep Learning COVID-19 Reverse Transcriptase Polymerase Chain Reaction SARS-CoV-2 COVID-19 Nucleic Acid Testing Sensitivity and Specificity
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Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.

European radiology Jan 21, 2022
OBJECTIVES: This study was conducted to evaluate the effect of dose reduction on the performance of a deep learning (DL)-based computer-aided diagnosis (CAD) system regarding pulmonary nodule detection in a virtual screening scenario.
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms Tomography, X-Ray Computed Lung Neoplasms Solitary Pulmonary Nodule Sensitivity and Specificity Deep Learning
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Artificial intelligence assistance improves the accuracy and efficiency of intracranial aneurysm detection with CT angiography.

European journal of radiology Jan 20, 2022
PURPOSE: The aim of this study was to evaluate whether a novel head and neck artificial intelligence (AI)-assisted diagnostic system based on a three-dimensional convolutional neural network (3D-CNN) could improve the accuracy, efficiency and working...
Angiography, Digital Subtraction Computed Tomography Angiography Cerebral Angiography Reproducibility of Results Humans Intracranial Aneurysm Sensitivity and Specificity Artificial Intelligence Imaging, Three-Dimensional Retrospective Studies
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Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method.

Scientific reports Jan 14, 2022
We developed and validated a deep learning (DL)-based model using the segmentation method and assessed its ability to detect lung cancer on chest radiographs. Chest radiographs for use as a training dataset and a test dataset were collected separatel...
Datasets as Topic Radiography, Thoracic Deep Learning Lung Neoplasms Solitary Pulmonary Nodule Female Aged Aged, 80 and over Male Middle Aged Adult Sensitivity and Specificity Neural Networks, Computer Algorithms Retrospective Studies Humans
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