AIMC Topic: Sensitivity and Specificity

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Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI.

IEEE journal of biomedical and health informatics Mar 23, 2020
Brain Metastases (BM) complicate 20-40% of cancer cases. BM lesions can present as punctate (1 mm) foci, requiring high-precision Magnetic Resonance Imaging (MRI) in order to prevent inadequate or delayed BM treatment. However, BM lesion detection re...
Humans Brain Neoplasms Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Brain Sensitivity and Specificity
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Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.

Radiology Mar 19, 2020
Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world since the beginning of 2020. It is desirable to develop automatic and accurate detection of COVID-19 using chest CT. Purpose To develop a fully automatic framework to...
Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections COVID-19 Testing Community-Acquired Infections Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Male Middle Aged Deep Learning ROC Curve Imaging, Three-Dimensional SARS-CoV-2 Aged Adult Sensitivity and Specificity Pandemics COVID-19 Retrospective Studies Tomography, X-Ray Computed Female Humans Artificial Intelligence
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Multi-modular AI Approach to Streamline Autism Diagnosis in Young Children.

Scientific reports Mar 19, 2020
Autism has become a pressing healthcare challenge. The instruments used to aid diagnosis are time and labor expensive and require trained clinicians to administer, leading to long wait times for at-risk children. We present a multi-modular, machine l...
Child, Preschool Sensitivity and Specificity Humans Male Child Machine Learning Diagnosis, Computer-Assisted United States Autism Spectrum Disorder Surveys and Questionnaires Female
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Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans.

Medical physics Mar 18, 2020
PURPOSE: Multiview two-dimensional (2D) convolutional neural networks (CNNs) and three-dimensional (3D) CNNs have been successfully used for analyzing volumetric data in many state-of-the-art medical imaging applications. We propose an alternative mo...
Neural Networks, Computer Tomography, X-Ray Computed Sensitivity and Specificity Image Processing, Computer-Assisted Lung Neoplasms Humans False Positive Reactions Radiography, Thoracic
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Identifying predictive features of autism spectrum disorders in a clinical sample of adolescents and adults using machine learning.

Scientific reports Mar 18, 2020
Diagnosing autism spectrum disorders (ASD) is a complicated, time-consuming process which is particularly challenging in older individuals. One of the most widely used behavioral diagnostic tools is the Autism Diagnostic Observation Schedule (ADOS). ...
Humans Psychometrics Adolescent Support Vector Machine Age Factors Diagnosis, Differential Reproducibility of Results Machine Learning Symptom Assessment Young Adult Algorithms Psychological Tests Adult Autism Spectrum Disorder Sensitivity and Specificity Female Male
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Real-time Concealed Object Detection from Passive Millimeter Wave Images Based on the YOLOv3 Algorithm.

Sensors (Basel, Switzerland) Mar 17, 2020
The detection of objects concealed under people's clothing is a very challenging task, which has crucial applications for security. When testing the human body for metal contraband, the concealed targets are usually small in size and are required to ...
Image Interpretation, Computer-Assisted Humans Datasets as Topic Neural Networks, Computer Metals Electromagnetic Phenomena Security Measures Algorithms Limit of Detection Clothing Weapons Sensitivity and Specificity Feasibility Studies Crime Deep Learning Safety Management Computer Systems
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Automatic Seizure Detection using Fully Convolutional Nested LSTM.

International journal of neural systems Mar 16, 2020
The automatic seizure detection system can effectively help doctors to monitor and diagnose epilepsy thus reducing their workload. Many outstanding studies have given good results in the two-class seizure detection problems, but most of them are base...
Signal Processing, Computer-Assisted Cerebral Cortex Deep Learning Models, Theoretical Electroencephalography Seizures Humans Sensitivity and Specificity
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Deep-Learning Detection of Cancer Metastases to the Brain on MRI.

Journal of magnetic resonance imaging : JMRI Mar 13, 2020
BACKGROUND: Approximately one-fourth of all cancer metastases are found in the brain. MRI is the primary technique for detection of brain metastasis, planning of radiotherapy, and the monitoring of treatment response. Progress in tumor treatment now ...
Humans Brain Retrospective Studies Sensitivity and Specificity Neoplasms Deep Learning Magnetic Resonance Imaging
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Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference.

Skeletal radiology Mar 13, 2020
OBJECTIVE: To clinically validate a fully automated deep convolutional neural network (DCNN) for detection of surgically proven meniscus tears.
Tibial Meniscus Injuries Magnetic Resonance Imaging Radiologists Arthroscopy Reference Standards Retrospective Studies Female Aged Adult Sensitivity and Specificity Male Middle Aged Clinical Competence Adolescent Humans Neural Networks, Computer
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Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Thermography Stochastic Processes Normal Distribution Respiratory Rate Body Temperature Respiration Signal-To-Noise Ratio Infrared Rays Algorithms Adult Female Sensitivity and Specificity Temperature Support Vector Machine Humans Male Reproducibility of Results Monitoring, Physiologic Adolescent Young Adult Models, Statistical Artificial Intelligence Equipment Design Signal Processing, Computer-Assisted
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