AIMC Topic: Infant, Newborn

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Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment.

Computers in biology and medicine Nov 18, 2015
Solving problems in medical image processing is either generic (being applicable to many problems) or specific (optimized for a certain task). For example, bone age assessment (BAA) on hand radiographs is a frequent but cumbersome task for radiologis...
Image Processing, Computer-Assisted Support Vector Machine Radiography Age Determination by Skeleton Epiphyses Infant Adolescent Child, Preschool Child Humans Female Infant, Newborn Male
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Machine-learning to characterise neonatal functional connectivity in the preterm brain.

NeuroImage Sep 2, 2015
Brain development is adversely affected by preterm birth. Magnetic resonance image analysis has revealed a complex fusion of structural alterations across all tissue compartments that are apparent by term-equivalent age, persistent into adolescence a...
Humans Male Magnetic Resonance Imaging Brain Mapping Infant, Premature Connectome Machine Learning Brain Female Infant, Newborn
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"Tele-rounding" with a remotely controlled mobile robot in the neonatal intensive care unit.

Journal of telemedicine and telecare Jun 26, 2015
OBJECTIVE: To investigate the feasibility of 'tele-rounding' in the neonatal intensive care.
Hospital Costs Intensive Care Units, Neonatal Intensive Care, Neonatal Length of Stay Robotics Feasibility Studies Remote Consultation Humans Infant, Newborn Male Case-Control Studies Prospective Studies Female
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Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.

Computers in biology and medicine Jun 10, 2015
Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is investigated in this work. Routine clinical measures and 1h EEG and ECG recordings 24h after birth were obtained from 38 newborns with different grades of...
Predictive Value of Tests Electroencephalography Hypoxia-Ischemia, Brain Infant, Newborn, Diseases Infant, Newborn Male Electrocardiography Support Vector Machine Humans Databases, Factual Female
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Grading hypoxic-ischemic encephalopathy severity in neonatal EEG using GMM supervectors and the support vector machine.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jun 3, 2015
OBJECTIVE: This work presents a novel automated system to classify the severity of hypoxic-ischemic encephalopathy (HIE) in neonates using EEG.
Female Infant, Newborn Male Support Vector Machine Electroencephalography Hypoxia-Ischemia, Brain Humans
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Relative Attribute SVM+ Learning for Age Estimation.

IEEE transactions on cybernetics Apr 2, 2015
When estimating age, human experts can provide privileged information that encodes the facial attributes of aging, such as smoothness, face shape, face acne, wrinkles, and bags under-eyes. In automatic age estimation, privileged information is unavai...
Algorithms Anthropometry Infant, Newborn Aged Face Infant Anthropology, Physical Child, Preschool Humans Adolescent Young Adult Machine Learning Adult Child Aging Support Vector Machine Middle Aged
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Machine learning approaches to analysing textual injury surveillance data: a systematic review.

Accident; analysis and prevention Mar 19, 2015
OBJECTIVE: To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data.
Infant Humans Adolescent Young Adult Machine Learning Child, Preschool Models, Theoretical Adult Child Male Population Surveillance Female Data Mining Middle Aged Infant, Newborn Statistics as Topic Aged Wounds and Injuries Aged, 80 and over
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Abstract computation in schizophrenia detection through artificial neural network based systems.

TheScientificWorldJournal Mar 5, 2015
Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fr...
Middle Aged Aged Child Schizophrenia Infant Young Adult Humans Adult Genetic Predisposition to Disease Adolescent Male Neural Networks, Computer Child, Preschool Female Infant, Newborn
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Assessment of paediatric thoracic robotic surgery.

Interactive cardiovascular and thoracic surgery Dec 4, 2014
OBJECTIVES: Many studies have reported that robotic-assisted surgery is safe and feasible for paediatric cases. However, very few paediatric thoracic robotic cases have been described. The aim of this study was to share our preliminary experience wit...
Robotics Outcome Assessment, Health Care Thoracic Surgical Procedures Esophageal Atresia Infant Child, Preschool Child Treatment Outcome Humans Female Infant, Newborn Male
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Prediction of Poor Visual Outcomes at Idiopathic Intracranial Hypertension Diagnosis Using a Supervised Machine Learning Algorithm.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society Dec 1, 2025
BACKGROUND: Idiopathic intracranial hypertension (IIH) is a vision-threatening disorder mainly affecting women of a reproductive age. Prompt diagnosis and intervention are vital to prevent vision loss, but validated tools to predict visual outcomes a...
Young Adult Adult Male Middle Aged Machine Learning Infant Visual Acuity Algorithms Vision Disorders Adolescent Retrospective Studies Supervised Machine Learning Prognosis Child, Preschool Female Visual Fields Child Humans Infant, Newborn Pseudotumor Cerebri Follow-Up Studies Aged
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