AIMC Topic: Sensitivity and Specificity

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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...
Humans Median Nerve Neural Conduction Carpal Tunnel Syndrome Deep Learning Ultrasonography Sensitivity and Specificity
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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...
Image Processing, Computer-Assisted Bone Marrow Sensitivity and Specificity Child Neural Networks, Computer Humans Machine Learning
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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.
Artificial Intelligence COVID-19 Reproducibility of Results Humans COVID-19 Nucleic Acid Testing COVID-19 Serological Testing Time Factors Clinical Trials as Topic Antigens, Viral SARS-CoV-2 Sensitivity and Specificity
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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...
Deep Learning Humans Triple Negative Breast Neoplasms Fibroadenoma Retrospective Studies Female Multiparametric Magnetic Resonance Imaging Contrast Media Artificial Intelligence Magnetic Resonance Imaging Sensitivity and Specificity Magnetic Resonance Spectroscopy Breast Neoplasms
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Deep Learning for FAST Quality Assessment.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jun 30, 2022
OBJECTIVES: To determine the feasibility of using a deep learning (DL) algorithm to assess the quality of focused assessment with sonography in trauma (FAST) exams.
Deep Learning Focused Assessment with Sonography for Trauma Neural Networks, Computer Humans Sensitivity and Specificity
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Radiologists with and without deep learning-based computer-aided diagnosis: comparison of performance and interobserver agreement for characterizing and diagnosing pulmonary nodules/masses.

European radiology Jun 25, 2022
OBJECTIVES: To compare the performance of radiologists in characterizing and diagnosing pulmonary nodules/masses with and without deep learning (DL)-based computer-aided diagnosis (CAD).
Diagnosis, Computer-Assisted Radiologists Humans Deep Learning Observer Variation Multiple Pulmonary Nodules Computers Sensitivity and Specificity Solitary Pulmonary Nodule Lung Neoplasms Reproducibility of Results
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Multimodal Magnetic Resonance Imaging to Diagnose Knee Osteoarthritis under Artificial Intelligence.

Computational intelligence and neuroscience Jun 23, 2022
This work aimed to investigate the application value of the multimodal magnetic resonance imaging (MRI) algorithm based on the low-rank decomposition denoising (LRDD) in the diagnosis of knee osteoarthritis (KOA), so as to offer a better examination ...
Osteoarthritis, Knee Sensitivity and Specificity Humans Magnetic Resonance Imaging Artificial Intelligence Multimodal Imaging
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Real-time, in vivo skin cancer triage by laser-induced plasma spectroscopy combined with a deep learning-based diagnostic algorithm.

Journal of the American Academy of Dermatology Jun 22, 2022
BACKGROUND: Although various skin cancer detection devices have been proposed, most of them are not used owing to their insufficient diagnostic accuracies. Laser-induced plasma spectroscopy (LIPS) can noninvasively extract biochemical information of ...
Algorithms Sensitivity and Specificity Triage Skin Neoplasms Carcinoma, Basal Cell Humans Deep Learning Spectrum Analysis
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Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation.

European radiology Jun 21, 2022
OBJECTIVES: To develop a deep-learning algorithm for anterior cruciate ligament (ACL) tear detection and to compare its accuracy using two external datasets.
Deep Learning Magnetic Resonance Imaging Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Arthroscopy Humans Retrospective Studies Sensitivity and Specificity
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Deep learning for emergency ascites diagnosis using ultrasonography images.

Journal of applied clinical medical physics Jun 20, 2022
PURPOSE: The detection of abdominal free fluid or hemoperitoneum can provide critical information for clinical diagnosis and treatment, particularly in emergencies. This study investigates the use of deep learning (DL) for identifying peritoneal free...
Deep Learning Ultrasonography Abdomen Humans Sensitivity and Specificity Ascites
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