AIMC Topic: Child

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Osteoporosis detection in panoramic radiographs using a deep convolutional neural network-based computer-assisted diagnosis system: a preliminary study.

Dento maxillo facial radiology Jul 13, 2018
OBJECTIVES: To evaluate the diagnostic performance of a deep convolutional neural network (DCNN)-based computer-assisted diagnosis (CAD) system in the detection of osteoporosis on panoramic radiographs, through a comparison with diagnoses made by ora...
Aged Adult Middle Aged Diagnosis, Computer-Assisted Child Humans Neural Networks, Computer Osteoporosis Female ROC Curve Radiography, Panoramic
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Artificial intelligence outperforms experienced nephrologists to assess dry weight in pediatric patients on chronic hemodialysis.

Pediatric nephrology (Berlin, Germany) Jul 9, 2018
BACKGROUND: Dry weight is the lowest weight patients on hemodialysis can tolerate; correct dry weight estimation is necessary to minimize morbi-mortality, but is difficult to achieve. Here, we used artificial intelligence to improve the accuracy of d...
Female Male Renal Dialysis Adolescent Child Humans Neural Networks, Computer Body Weight Body Fluids Nephrologists Blood Volume Hypertension Decision Making, Computer-Assisted Blood Pressure Determination Blood Pressure Body Mass Index Antihypertensive Agents Dose-Response Relationship, Drug Kidney Failure, Chronic Feasibility Studies
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Minimally Invasive Surgical Approach for Posterior Tracheopexy to Treat Severe Tracheomalacia: Lessons Learned from Initial Case Series.

Journal of laparoendoscopic & advanced surgical techniques. Part A Jul 5, 2018
Posterior tracheopexy directly addresses membranous tracheal intrusion in severe tracheomalacia (TM). We have previously reported our experience of posterior tracheopexy through open approach in a large series of patients. This study aimed to review...
Child, Preschool Humans Child Robotics Retrospective Studies Thoracic Surgery, Video-Assisted Female Postoperative Period Young Adult Male Trachea Infant Tracheomalacia Severity of Illness Index Adolescent
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Study on Contribution of Biological Interpretable and Computer-Aided Features Towards the Classification of Childhood Medulloblastoma Cells.

Journal of medical systems Jul 4, 2018
Diagnosis and Prognosis of brain tumour in children is always a critical case. Medulloblastoma is that subtype of brain tumour which occurs most frequently amongst children. Post-operation, the classification of its subtype is most vital for further ...
Child Support Vector Machine Principal Component Analysis Cerebellar Neoplasms Medulloblastoma Humans Algorithms
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Presentation and diagnosis of patients with type 3 von Willebrand disease in resources-limited laboratory.

Hematology/oncology and stem cell therapy Jul 3, 2018
Von Willebrand disease (VWD) is a bleeding disorder that results from decreased von Willebrand factor (VWF) activity <0.30 iu/mL. Therefore, the diagnosis of type 3 VWD in patients with bleeding requires finding a VWF:Ag and/or VWF:platelet ristoceti...
Child, Preschool von Willebrand Disease, Type 3 Child Humans von Willebrand Factor Blood Coagulation Tests Male Female Bleeding Time Infant Infant, Newborn Adolescent Adult Cohort Studies
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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...
Sensitivity and Specificity Male Adolescent Humans Phenotype Child Machine Learning Autism Spectrum Disorder Intelligence Algorithms Female Adult
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Transductive Joint-Knowledge-Transfer TSK FS for Recognition of Epileptic EEG Signals.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 25, 2018
Intelligent recognition of electroencephalogram (EEG) signals is an important means to detect seizure. Traditional methods for recognizing epileptic EEG signals are usually based on two assumptions: 1) adequate training examples are available for mod...
Signal Processing, Computer-Assisted Transfer, Psychology Female Fuzzy Logic Young Adult Child, Preschool Electroencephalography Male Child Epilepsy Humans Infant Models, Theoretical Seizures Artificial Intelligence Adolescent Support Vector Machine Machine Learning Algorithms
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Identification of differentially expressed genes associated with asthma in children based on the bioanalysis of the regulatory network.

Molecular medicine reports Jun 22, 2018
Asthma, the most common chronic respiratory tract disease in children, is characterized by allergy, recurring airway obstruction and bronchospasm. The aim of the present study was to screen critical differentially expressed genes (DEGs) involved in a...
Gene Ontology Asthma Male Humans Infant Female Adolescent Child, Preschool Child Gene Regulatory Networks Databases, Genetic Gene Expression Regulation
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Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns.

IEEE transactions on cybernetics Jun 19, 2018
Autism spectrum disorder (ASD) is an age- and sex-related neurodevelopmental disorder that alters the brain's functional connectivity (FC). The changes caused by ASD are associated with different age- and sex-related patterns in neuroimaging data. Ho...
Humans Machine Learning Autism Spectrum Disorder Brain Female Young Adult Adult Image Interpretation, Computer-Assisted Male Neuroimaging Adolescent Nerve Net Child Magnetic Resonance Imaging
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Forensic Odontology: Automatic Identification of Persons Comparing Antemortem and Postmortem Panoramic Radiographs Using Computer Vision.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jun 18, 2018
PURPOSE:  In forensic odontology the comparison between antemortem and postmortem panoramic radiographs (PRs) is a reliable method for person identification. The purpose of this study was to improve and automate identification of unknown people by co...
Adult Male Middle Aged Adolescent Child Image Processing, Computer-Assisted Radiography, Panoramic Forensic Dentistry Datasets as Topic Female Aged Aged, 80 and over Young Adult Humans Artificial Intelligence Algorithms
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