AIMC Topic: Sensitivity and Specificity

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Extending PubMed searches to ClinicalTrials.gov through a machine learning approach for systematic reviews.

Journal of clinical epidemiology Jul 5, 2018
OBJECTIVES: Despite their essential role in collecting and organizing published medical literature, indexed search engines are unable to cover all relevant knowledge. Hence, current literature recommends the inclusion of clinical trial registries in ...
Humans Machine Learning Sensitivity and Specificity Data Mining Information Storage and Retrieval Systematic Reviews as Topic Clinical Trials as Topic Meta-Analysis as Topic Search Engine PubMed
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Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network.

Skeletal radiology Jun 28, 2018
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.
Aged Aged, 80 and over Adult Sensitivity and Specificity Neural Networks, Computer Retrospective Studies Female Hip Fractures Femoral Fractures Orthopedic Surgeons Humans Male Middle Aged Clinical Competence
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A new computational intelligence approach to detect autistic features for autism screening.

International journal of medical informatics Jun 27, 2018
Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. General practitioners (GPs) and family physicians are typically the first point of contact for patients or family members concerned with ASD traits obser...
Adult Sensitivity and Specificity Male Intelligence Adolescent Child Phenotype Autism Spectrum Disorder Female Humans Machine Learning Algorithms
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Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Scientific reports Jun 21, 2018
Black-blood (BB) imaging is used to complement contrast-enhanced 3D gradient-echo (CE 3D-GRE) imaging for detecting brain metastases, requiring additional scan time. In this study, we proposed deep-learned 3D BB imaging with an auto-labelling techniq...
Imaging, Three-Dimensional Magnetic Resonance Imaging Blood Vessels Brain Neoplasms Male Middle Aged Deep Learning Female Aged Sensitivity and Specificity Humans
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A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Jun 15, 2018
STUDY OBJECTIVES: This study evaluated a novel artificial neural network (ANN) based sleep-disordered breathing (SDB) screening tool incorporating nocturnal pulse oximetry with demographic, anatomic, and clinical data. The tool was compatible with 6 ...
Sleep Apnea Syndromes Oximetry Female Sensitivity and Specificity Male Middle Aged Humans Neural Networks, Computer
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A Nasal Brush-based Classifier of Asthma Identified by Machine Learning Analysis of Nasal RNA Sequence Data.

Scientific reports Jun 11, 2018
Asthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-based classifier of mild/moderate asthma. 190 subjects with mild/moderate asthma and controls underwent nasal brushing and RNA sequencing of nasal sam...
Nasal Mucosa Molecular Diagnostic Techniques Sequence Analysis, RNA Predictive Value of Tests Female Young Adult Adult Male Gene Expression Profiling Asthma Sensitivity and Specificity Humans Machine Learning Prospective Studies
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Machine learning "red dot": open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification.

Clinical radiology Jun 10, 2018
AIM: To develop a machine learning-based model for the binary classification of chest radiography abnormalities, to serve as a retrospective tool in guiding clinician reporting prioritisation.
Machine Learning Sensitivity and Specificity Humans Neural Networks, Computer Cloud Computing Diagnosis, Differential Datasets as Topic Radiography, Thoracic
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Prospective motion correction improves the sensitivity of fMRI pattern decoding.

Human brain mapping Jun 8, 2018
We evaluated the effectiveness of prospective motion correction (PMC) on a simple visual task when no deliberate subject motion was present. The PMC system utilizes an in-bore optical camera to track an external marker attached to the participant via...
Humans Adult Sensitivity and Specificity Functional Neuroimaging Artifacts Pattern Recognition, Automated Pattern Recognition, Visual Visual Cortex Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Head Movements
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Development of a novel humanoid-robot simulator for endoscope with pharyngeal reflex and real-life responses.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Jun 7, 2018
Gagging Simulation Training Laryngoscopes Equipment Safety Humans Equipment Design Laryngoscopy Sensitivity and Specificity Robotics
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Machine learning model in melanoma.

The Lancet. Oncology Jun 7, 2018
Clinical Competence Dermatologists Germany Retrospective Studies Female Melanoma Male Diagnosis, Computer-Assisted Skin Neoplasms Sensitivity and Specificity Humans Machine Learning
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