AIMC Topic: Sensitivity and Specificity

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Chest x-ray analysis with deep learning-based software as a triage test for pulmonary tuberculosis: a prospective study of diagnostic accuracy for culture-confirmed disease.

The Lancet. Digital health Oct 19, 2020
BACKGROUND: Deep learning-based radiological image analysis could facilitate use of chest x-rays as triage tests for pulmonary tuberculosis in resource-limited settings. We sought to determine whether commercially available chest x-ray analysis softw...
Mycobacterium tuberculosis Sex Factors X-Rays Radiology Sputum Pakistan Tuberculosis, Pulmonary Middle Aged Lung Young Adult Deep Learning Adult HIV Infections Sensitivity and Specificity Image Processing, Computer-Assisted Male Humans Body Mass Index Age Factors Software Triage Prospective Studies Female
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Diagnosis of common pulmonary diseases in children by X-ray images and deep learning.

Scientific reports Oct 15, 2020
Acute lower respiratory infection is the leading cause of child death in developing countries. Current strategies to reduce this problem include early detection and appropriate treatment. Better diagnostic and therapeutic strategies are still needed ...
Diagnosis, Differential Lung Diseases Radiography, Thoracic Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Child Humans
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Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging.

European radiology Oct 14, 2020
OBJECTIVES: There currently lacks a noninvasive and accurate method to distinguish benign and malignant ovarian lesion prior to treatment. This study developed a deep learning algorithm that distinguishes benign from malignant ovarian lesion by apply...
Neural Networks, Computer Artificial Intelligence Female Sensitivity and Specificity Deep Learning Magnetic Resonance Imaging Ovarian Neoplasms Ovarian Cysts Humans
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Machine learning identifies abnormal Ca transients in human induced pluripotent stem cell-derived cardiomyocytes.

Scientific reports Oct 12, 2020
Human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide an excellent platform for potential clinical and research applications. Identifying abnormal Ca transients is crucial for evaluating cardiomyocyte function that requires l...
Induced Pluripotent Stem Cells Sensitivity and Specificity Calcium High-Throughput Screening Assays Myocytes, Cardiac Humans Machine Learning Algorithms Cells, Cultured
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Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis.

Scientific reports Oct 12, 2020
Bone scintigraphy (BS) is one of the most frequently utilized diagnostic techniques in detecting cancer bone metastasis, and it occupies an enormous workload for nuclear medicine physicians. So, we aimed to architecture an automatic image interpretin...
Bone Neoplasms Bone and Bones Radionuclide Imaging Male Middle Aged Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence Female Aged Adult Sensitivity and Specificity
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Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.

Medical image analysis Oct 8, 2020
The recent global outbreak and spread of coronavirus disease (COVID-19) makes it an imperative to develop accurate and efficient diagnostic tools for the disease as medical resources are getting increasingly constrained. Artificial intelligence (AI)-...
Humans Sensitivity and Specificity Radiography, Thoracic Pneumonia, Viral Neural Networks, Computer COVID-19 Tomography, X-Ray Computed SARS-CoV-2
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Facial erythema detects diabetic neuropathy using the fusion of machine learning, random matrix theory and self organized criticality.

Scientific reports Oct 8, 2020
Rubeosis faciei diabeticorum, caused by microangiopathy and characterized by a chronic facial erythema, is associated with diabetic neuropathy. In clinical practice, facial erythema of patients with diabetes is evaluated based on subjective observati...
Diabetic Neuropathies Erythema Machine Learning Female Aged Sensitivity and Specificity Male Middle Aged Skin Face Humans
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BrainNET: Inference of Brain Network Topology Using Machine Learning.

Brain connectivity Oct 8, 2020
To develop a new functional magnetic resonance image (fMRI) network inference method, BrainNET, that utilizes an efficient machine learning algorithm to quantify contributions of various regions of interests (ROIs) in the brain to a specific ROI. B...
Algorithms Brain Computer Simulation Female Humans Machine Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Neural Pathways Sensitivity and Specificity Male Adolescent Child Attention Deficit Disorder with Hyperactivity
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Improvement of the diagnostic accuracy for intracranial haemorrhage using deep learning-based computer-assisted detection.

Neuroradiology Oct 6, 2020
PURPOSE: To elucidate the effect of deep learning-based computer-assisted detection (CAD) on the performance of different-level physicians in detecting intracranial haemorrhage using CT.
Radiographic Image Interpretation, Computer-Assisted Intracranial Hemorrhages Tomography, X-Ray Computed Humans Sensitivity and Specificity Computers Diagnosis, Computer-Assisted Retrospective Studies Deep Learning
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Clinical Predictive Models for COVID-19: Systematic Study.

Journal of medical Internet research Oct 6, 2020
BACKGROUND: COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapid human-to-human transmission of SARS-CoV-2, many health care systems are at risk of exceeding their health care capacities, in particular in terms of...
Sensitivity and Specificity Brazil Respiration, Artificial ROC Curve Retrospective Studies Intensive Care Units SARS-CoV-2 Hospitalization Public Health Informatics Clinical Laboratory Techniques Betacoronavirus Humans Pneumonia, Viral Machine Learning Neural Networks, Computer Predictive Value of Tests Pandemics Area Under Curve COVID-19 Coronavirus Infections Algorithms COVID-19 Testing
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