AIMC Topic: Sensitivity and Specificity

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Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images.

European journal of nuclear medicine and molecular imaging Oct 4, 2022
PURPOSE: Artificial intelligence (AI) has high diagnostic accuracy for coronary artery disease (CAD) from myocardial perfusion imaging (MPI). However, when trained using high-risk populations (such as patients with correlating invasive testing), the ...
Artificial Intelligence Female Sensitivity and Specificity Humans Perfusion Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Deep Learning Coronary Angiography Coronary Artery Disease
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How much can AI see in early pregnancy: A multi-center study of fetus head characterization in week 10-14 in ultrasound using deep learning.

Computer methods and programs in biomedicine Oct 2, 2022
PURPOSE: To investigate if artificial intelligence can identify fetus intracranial structures in pregnancy week 11-14; to provide an automated method of standard and non-standard sagittal view classification in obstetric ultrasound examination METHOD...
Artificial Intelligence Fetus Pregnancy Female Sensitivity and Specificity Deep Learning Ultrasonography Humans
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Fully-Automated Spike Detection and Dipole Analysis of Epileptic MEG Using Deep Learning.

IEEE transactions on medical imaging Sep 30, 2022
Magnetoencephalography (MEG) is a useful tool for clinically evaluating the localization of interictal spikes. Neurophysiologists visually identify spikes from the MEG waveforms and estimate the equivalent current dipoles (ECD). However, presently, t...
Humans Sensitivity and Specificity Deep Learning Epilepsy Magnetoencephalography Image Processing, Computer-Assisted Electroencephalography
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Point-of-care SARS-CoV-2 sensing using lens-free imaging and a deep learning-assisted quantitative agglutination assay.

Lab on a chip Sep 27, 2022
The persistence of the global COVID-19 pandemic caused by the SARS-CoV-2 virus has continued to emphasize the need for point-of-care (POC) diagnostic tests for viral diagnosis. The most widely used tests, lateral flow assays used in rapid antigen tes...
Point-of-Care Systems Deep Learning COVID-19 Testing SARS-CoV-2 Sensitivity and Specificity Angiotensin-Converting Enzyme 2 DNA-Directed RNA Polymerases Agglutination Humans Pandemics COVID-19
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Deep Learning-Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Sep 22, 2022
To improve diagnostic accuracy, myocardial perfusion imaging (MPI) SPECT studies can use CT-based attenuation correction (AC). However, CT-based AC is not available for most SPECT systems in clinical use, increases radiation exposure, and is impacted...
Myocardial Perfusion Imaging Humans Coronary Artery Disease Sensitivity and Specificity Tomography, Emission-Computed, Single-Photon Deep Learning ROC Curve
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Validation of deep learning-based computer-aided detection software use for interpretation of pulmonary abnormalities on chest radiographs and examination of factors that influence readers' performance and final diagnosis.

Japanese journal of radiology Sep 19, 2022
PURPOSE: To evaluate the performance of a deep learning-based computer-aided detection (CAD) software for detecting pulmonary nodules, masses, and consolidation on chest radiographs (CRs) and to examine the effect of readers' experience and data char...
Humans Radiographic Image Interpretation, Computer-Assisted Software Radiography, Thoracic Deep Learning Computers Lung Neoplasms Retrospective Studies Multiple Pulmonary Nodules Sensitivity and Specificity
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Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study.

Radiology Sep 13, 2022
Background Approximately 40% of pancreatic tumors smaller than 2 cm are missed at abdominal CT. Purpose To develop and to validate a deep learning (DL)-based tool able to detect pancreatic cancer at CT. Materials and Methods Retrospectively collected...
Aged Humans Deep Learning Sensitivity and Specificity Retrospective Studies Pancreatic Neoplasms Male Pancreas Tomography, X-Ray Computed
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Classification of Skin Cancer Lesions Using Explainable Deep Learning.

Sensors (Basel, Switzerland) Sep 13, 2022
Skin cancer is among the most prevalent and life-threatening forms of cancer that occur worldwide. Traditional methods of skin cancer detection need an in-depth physical examination by a medical professional, which is time-consuming in some cases. Re...
Skin Neoplasms Humans Skin Neural Networks, Computer Sensitivity and Specificity Deep Learning
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Deep Learning Assistance Closes the Accuracy Gap in Fracture Detection Across Clinician Types.

Clinical orthopaedics and related research Sep 9, 2022
BACKGROUND: Missed fractures are the most common diagnostic errors in musculoskeletal imaging and can result in treatment delays and preventable morbidity. Deep learning, a subfield of artificial intelligence, can be used to accurately detect fractur...
Fractures, Bone Radiography Medicare Humans Sensitivity and Specificity Artificial Intelligence Deep Learning Aged Retrospective Studies United States Adult
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Deep Learning for Detection of Intracranial Aneurysms from Computed Tomography Angiography Images.

Journal of digital imaging Sep 9, 2022
The accuracy of computed tomography angiography (CTA) image interpretation depends on the radiologist. This study aims to develop a new method for automatically detecting intracranial aneurysms from CTA images using deep learning, based on a convolut...
Computed Tomography Angiography Sensitivity and Specificity Humans Cerebral Angiography Tomography, X-Ray Computed Deep Learning Intracranial Aneurysm Angiography, Digital Subtraction
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