AIMC Topic: Sensitivity and Specificity

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Improving rib fracture detection accuracy and reading efficiency with deep learning-based detection software: a clinical evaluation.

The British journal of radiology Dec 17, 2020
OBJECTIVES: To investigate the impact of deep learning (DL) on radiologists' detection accuracy and reading efficiency of rib fractures on CT.
Sensitivity and Specificity Male Middle Aged Deep Learning Adolescent Radiographic Image Interpretation, Computer-Assisted Observer Variation Aged Aged, 80 and over Young Adult Adult Tomography, X-Ray Computed Ribs Female Reproducibility of Results Humans Rib Fractures Retrospective Studies
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Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection.

Scientific reports Dec 17, 2020
Recent advancements in deep learning have led to a resurgence of medical imaging and Electronic Medical Record (EMR) models for a variety of applications, including clinical decision support, automated workflow triage, clinical prediction and more. H...
Sensitivity and Specificity Image Processing, Computer-Assisted Workflow Pulmonary Embolism Disease Management Humans Machine Learning Image Interpretation, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed Electronic Health Records Clinical Decision-Making
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Reducing scan time of paediatric Tc-DMSA SPECT via deep learning.

Clinical radiology Dec 16, 2020
AIM: To investigate the feasibility of reducing the scan time of paediatric technetium 99m (Tc) dimercaptosuccinic acid (DMSA) single-photon-emission computed tomographic (SPECT) using a deep learning (DL) method.
Infant Deep Learning Adolescent Time Factors Kidney Kidney Diseases Tomography, Emission-Computed, Single-Photon Feasibility Studies Technetium Tc 99m Dimercaptosuccinic Acid Child, Preschool Retrospective Studies Child Female Sensitivity and Specificity Humans Male
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The design and application of an automated microscope developed based on deep learning for fungal detection in dermatology.

Mycoses Dec 7, 2020
BACKGROUND: Light microscopy to study the infection of fungi in skin specimens is time-consuming and requires automation.
Humans Automation, Laboratory Skin Fungi Microscopy Nails Hair Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Microscopy, Fluorescence
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Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniques.

Scientific reports Dec 7, 2020
Parkinson's Disease (PD) is the second most common neurodegenerative disorder, affecting more than 1% of the population above 60 years old with both motor and non-motor symptoms of escalating severity as it progresses. Since it cannot be cured, treat...
Middle Aged Quality of Life Deep Learning ROC Curve Female Aged Sensitivity and Specificity Male Parkinson Disease Humans
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Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.

Journal of medical Internet research Dec 2, 2020
BACKGROUND: Conventional diagnosis of COVID-19 with reverse transcription polymerase chain reaction (RT-PCR) testing (hereafter, PCR) is associated with prolonged time to diagnosis and significant costs to run the test. The SARS-CoV-2 virus might lea...
Laboratories COVID-19 Hematologic Tests Humans Female Machine Learning Reproducibility of Results Pandemics Hospitals SARS-CoV-2 Sensitivity and Specificity ROC Curve Aged Area Under Curve Male Adult Emergency Service, Hospital Middle Aged
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Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

Scandinavian journal of trauma, resuscitation and emergency medicine Dec 1, 2020
BACKGROUND: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagnostic tool in emergency depar...
COVID-19 Retrospective Studies Female SARS-CoV-2 Aged Humans Machine Learning Software Reverse Transcriptase Polymerase Chain Reaction Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted
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Intelligent detection endoscopic assistant: An artificial intelligence-based system for monitoring blind spots during esophagogastroduodenoscopy in real-time.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Nov 30, 2020
BACKGROUND: Observation of the entire stomach during esophagogastroduodenoscopy (EGD) is important; however, there is a lack of effective evaluation tools.
Diagnosis, Differential Humans Neural Networks, Computer Observer Variation Artificial Intelligence Stomach Neoplasms Endoscopy, Digestive System Sensitivity and Specificity Clinical Competence Monitoring, Physiologic
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A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images.

Nature communications Nov 30, 2020
Intracranial aneurysm is a common life-threatening disease. Computed tomography angiography is recommended as the standard diagnosis tool; yet, interpretation can be time-consuming and challenging. We present a specific deep-learning-based model trai...
Algorithms Prospective Studies Tomography, X-Ray Computed Female Angiography, Digital Subtraction Humans Computed Tomography Angiography Intracranial Aneurysm Aged Sensitivity and Specificity Imaging, Three-Dimensional Deep Learning Male Stroke Middle Aged China Brain Ischemia
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Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs.

Korean journal of radiology Nov 26, 2020
OBJECTIVE: To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs.
Developmental Dysplasia of the Hip Infant Deep Learning ROC Curve Area Under Curve Humans Algorithms Retrospective Studies Sensitivity and Specificity
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