AIMC Topic: Sensitivity and Specificity

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Deep learning of HIV field-based rapid tests.

Nature medicine Jun 17, 2021
Although deep learning algorithms show increasing promise for disease diagnosis, their use with rapid diagnostic tests performed in the field has not been extensively tested. Here we use deep learning to classify images of rapid human immunodeficienc...
AIDS Serodiagnosis HIV Infections Humans South Africa Algorithms Time and Motion Studies Sensitivity and Specificity Rural Health Services Deep Learning
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Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection.

Nature communications Jun 17, 2021
High-throughput, high-accuracy detection of emerging viruses allows for the control of disease outbreaks. Currently, reverse transcription-polymerase chain reaction (RT-PCR) is currently the most-widely used technology to diagnose the presence of SAR...
Middle East Respiratory Syndrome Coronavirus Nanopores Humans COVID-19 Nucleic Acid Testing Artificial Intelligence Coronavirus 229E, Human Machine Learning Limit of Detection Software Equipment Design SARS-CoV-2 Saliva Sensitivity and Specificity Polymerase Chain Reaction Nanoparticles
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Application of deep learning in the detection of breast lesions with four different breast densities.

Cancer medicine Jun 16, 2021
OBJECTIVE: This retrospective study evaluated the model from populations with different breast densities and showed the model's performance on malignancy prediction.
Humans ROC Curve Triple Negative Breast Neoplasms Calcinosis Mammography Breast Density Sensitivity and Specificity Retrospective Studies Breast Neoplasms Female Middle Aged Aged Deep Learning Adult
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Automated detection of cervical ossification of the posterior longitudinal ligament in plain lateral radiographs of the cervical spine using a convolutional neural network.

Scientific reports Jun 16, 2021
Cervical ossification of the posterior longitudinal ligament (OPLL) is a contributing factor to spinal cord injury or trauma-induced myelopathy in the elderly. To reduce the incidence of these traumas, it is essential to diagnose OPLL at an early sta...
Sensitivity and Specificity Male Humans Diagnosis, Differential Neural Networks, Computer Radiography Cervical Vertebrae Female Spondylosis Aged Ossification of Posterior Longitudinal Ligament
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Diagnostic Accuracy and Failure Mode Analysis of a Deep Learning Algorithm for the Detection of Cervical Spine Fractures.

AJNR. American journal of neuroradiology Jun 11, 2021
BACKGROUND AND PURPOSE: Artificial intelligence decision support systems are a rapidly growing class of tools to help manage ever-increasing imaging volumes. The aim of this study was to evaluate the performance of an artificial intelligence decision...
Cervical Vertebrae Spinal Fractures Artificial Intelligence Algorithms Retrospective Studies Female Adult Sensitivity and Specificity Male Deep Learning Humans
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Automatic classification of medical image modality and anatomical location using convolutional neural network.

PloS one Jun 11, 2021
Modern radiologic images comply with DICOM (digital imaging and communications in medicine) standard, which, upon conversion to other image format, would lose its image detail and information such as patient demographics or type of image modality tha...
Spine Reproducibility of Results Humans Image Interpretation, Computer-Assisted Sensitivity and Specificity Neural Networks, Computer Automation Brain Abdomen Neuroimaging Tomography, X-Ray Computed Magnetic Resonance Imaging
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Deep-learning based classification distinguishes sarcomatoid malignant mesotheliomas from benign spindle cell mesothelial proliferations.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jun 10, 2021
Sarcomatoid mesothelioma is an aggressive malignancy that can be challenging to distinguish from benign spindle cell mesothelial proliferations based on biopsy, and this distinction is crucial to patient treatment and prognosis. A novel deep learning...
Sensitivity and Specificity Mesothelioma, Malignant Humans Deep Learning Cell Proliferation Pleural Neoplasms Neural Networks, Computer ROC Curve Diagnosis, Differential Prognosis Image Processing, Computer-Assisted Area Under Curve Mesothelioma
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Artificial Intelligence-Augmented Electrocardiogram Detection of Left Ventricular Systolic Dysfunction in the General Population.

Mayo Clinic proceedings Jun 10, 2021
OBJECTIVE: To validate an artificial intelligence-augmented electrocardiogram (AI-ECG) algorithm for the detection of preclinical left ventricular systolic dysfunction (LVSD) in a large community-based cohort.
Middle Aged Electrocardiography Ventricular Dysfunction, Left Sensitivity and Specificity Male Ventricular Function, Left Echocardiography Humans Artificial Intelligence Algorithms Female
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Using deep learning to identify bladder cancers with FGFR-activating mutations from histology images.

Cancer medicine Jun 10, 2021
BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to be an important therapeutic target in bladder cancer. FGFR-targeted therapies are effective for patients with FGFR mutation, which can be discovered ...
Databases, Factual Female Sensitivity and Specificity Male Humans Neural Networks, Computer Receptor, Fibroblast Growth Factor, Type 3 Gene Expression Mutation Molecular Targeted Therapy Receptor, Fibroblast Growth Factor, Type 2 Deep Learning Logistic Models Lymphocytes, Tumor-Infiltrating Urinary Bladder Neoplasms Receptors, Fibroblast Growth Factor
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Comparison of British Thyroid Association, American College of Radiology TIRADS and Artificial Intelligence TIRADS with histological correlation: diagnostic performance for predicting thyroid malignancy and unnecessary fine needle aspiration rate.

The British journal of radiology Jun 9, 2021
OBJECTIVES: To compare diagnostic performance of British Thyroid Association (BTA), American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) and Artificial Intelligence TIRADS (AI-TIRADS) for thyroid nodule malignancy. To ...
Adult Sensitivity and Specificity Male Middle Aged Retrospective Studies Female Aged Aged, 80 and over Predictive Value of Tests Neoplasm Grading Practice Guidelines as Topic Biopsy, Fine-Needle Unnecessary Procedures Adolescent Humans Thyroidectomy Artificial Intelligence Thyroid Neoplasms Ultrasonography
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