AIMC Topic: Sensitivity and Specificity

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Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists.

Radiology Sep 6, 2022
Background The World Health Organization (WHO) recommends chest radiography to facilitate tuberculosis (TB) screening. However, chest radiograph interpretation expertise remains limited in many regions. Purpose To develop a deep learning system (DLS)...
Female Radiologists Sensitivity and Specificity Tuberculosis, Pulmonary Male Middle Aged Humans Radiography, Thoracic Deep Learning Retrospective Studies Radiography
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Selective Electrochemical Detection of SARS-CoV-2 Using Deep Learning.

Viruses Aug 30, 2022
COVID-19 has been in the headlines for the past two years. Diagnosing this infection with minimal false rates is still an issue even with the advent of multiple rapid antigen tests. Enormous data are being collected every day that could provide insig...
Sensitivity and Specificity Deep Learning COVID-19 Testing COVID-19 SARS-CoV-2 Humans
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A novel machine learning model for class III surgery decision.

Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie Aug 26, 2022
PURPOSE: The primary purpose of this study was to develop a new machine learning model for the surgery/non-surgery decision in class III patients and evaluate the validity and reliability of this model.
Female Reproducibility of Results Sensitivity and Specificity Humans Neural Networks, Computer Machine Learning Orthognathic Surgical Procedures Male Adolescent
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Deep Learning Mechanism for Predicting the Axillary Lymph Node Metastasis in Patients with Primary Breast Cancer.

BioMed research international Aug 10, 2022
The second largest cause of mortality worldwide is breast cancer, and it mostly occurs in women. Early diagnosis has improved further treatments and reduced the level of mortality. A unique deep learning algorithm is presented for predicting breast c...
Deep Learning Reproducibility of Results Humans Lymphatic Metastasis Lymph Nodes Female Sensitivity and Specificity Breast Neoplasms
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Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application.

Cancer science Aug 3, 2022
Although the categorization of ultrasound using the Breast Imaging Reporting and Data System (BI-RADS) has become widespread worldwide, the problem of inter-observer variability remains. To maintain uniformity in diagnostic accuracy, we have develope...
Female Humans Sensitivity and Specificity Deep Learning Artificial Intelligence Breast Neoplasms Ultrasonography Ultrasonography, Mammary
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In-depth evaluation of machine learning methods for semi-automating article screening in a systematic review of mechanistic literature.

Research synthesis methods Jul 23, 2022
We aimed to evaluate the performance of supervised machine learning algorithms in predicting articles relevant for full-text review in a systematic review. Overall, 16,430 manually screened titles/abstracts, including 861 references identified releva...
Algorithms Sensitivity and Specificity Bayes Theorem Data Collection Machine Learning
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Using deep learning for ultrasound images to diagnose carpal tunnel syndrome with high accuracy.

Ultrasound in medicine & biology Jul 20, 2022
Recently, deep learning (DL) algorithms have been adapted for the diagnosis of medical images. The purpose of this study was to detect image features using DL without measuring median nerve cross-sectional area (CSA) in ultrasonography (US) images of...
Neural Conduction Carpal Tunnel Syndrome Ultrasonography Median Nerve Humans Sensitivity and Specificity Deep Learning
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Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.

Computer methods and programs in biomedicine Jul 10, 2022
BACKGROUND AND OBJECTIVE: Leukemia represents 30% of all pediatric cancers and is considered the most common malignancy affecting adults and children. Cell differential count obtained from bone marrow aspirate smears is crucial for diagnosing hematol...
Child Image Processing, Computer-Assisted Bone Marrow Neural Networks, Computer Machine Learning Sensitivity and Specificity Humans
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Validity of at-home rapid antigen lateral flow assay and artificial intelligence read to detect SARS-CoV-2.

Diagnostic microbiology and infectious disease Jul 7, 2022
BACKGROUND: The gold standard for COVID-19 diagnosis-reverse-transcriptase polymerase chain reaction (RT-PCR)- is expensive and often slow to yield results whereas lateral flow tests can lack sensitivity.
Sensitivity and Specificity Time Factors Clinical Trials as Topic Antigens, Viral COVID-19 Nucleic Acid Testing COVID-19 Reproducibility of Results SARS-CoV-2 COVID-19 Serological Testing Humans Artificial Intelligence
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Combined diagnosis of multiparametric MRI-based deep learning models facilitates differentiating triple-negative breast cancer from fibroadenoma magnetic resonance BI-RADS 4 lesions.

Journal of cancer research and clinical oncology Jun 30, 2022
PURPOSE: To investigate the value of the combined diagnosis of multiparametric MRI-based deep learning models to differentiate triple-negative breast cancer (TNBC) from fibroadenoma magnetic resonance Breast Imaging-Reporting and Data System category...
Sensitivity and Specificity Breast Neoplasms Deep Learning Retrospective Studies Humans Female Magnetic Resonance Spectroscopy Triple Negative Breast Neoplasms Artificial Intelligence Fibroadenoma Contrast Media Multiparametric Magnetic Resonance Imaging Magnetic Resonance Imaging
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