AIMC Topic: Child

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Robot-Mediated Imitation Skill Training for Children With Autism.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Autism spectrum disorder (ASD) impacts 1 in 68 children in the U.S., with tremendous individual and societal costs. Technology-aided intervention, more specifically robotic intervention, has gained momentum in recent years due to the inherent affinit...

Discriminating preictal and interictal brain states in intracranial EEG by sample entropy and extreme learning machine.

Journal of neuroscience methods
BACKGROUND: Epilepsy is one of the most common neurological disorders approximately one in every 100 people worldwide are suffering from it. Uncontrolled epilepsy poses a significant burden to society due to associated healthcare cost to treat and co...

Robot-assisted laparoscopic management of duplex renal anomaly: Comparison of surgical outcomes to traditional pure laparoscopic and open surgery.

Journal of pediatric urology
INTRODUCTION: Surgical management of duplex renal anomaly (DRA) is complex because of individual anatomic variation, competing priorities of vesicoureteral reflux (VUR) and ureteral obstruction present in the same child, the varied differential funct...

Machine Learning Techniques for Prediction of Early Childhood Obesity.

Applied clinical informatics
OBJECTIVES: This paper aims to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA.

Reducing the incidence of oxyhaemoglobin desaturation during rapid sequence intubation in a paediatric emergency department.

BMJ quality & safety
OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emergency medicine. In a video-based study of RSI in a paediatric emergency department (ED), we reported a high degree of process variation and frequent a...

Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity--A multi-center study.

Progress in neuro-psychopharmacology & biological psychiatry
BACKGROUND: Resting-state functional magnetic resonance imaging studies examining low frequency fluctuations (0.01-0.08 Hz) have revealed atypical whole brain functional connectivity patterns in adolescents with autism spectrum disorder (ASD), and th...

Robotic-Assisted Procedures in Pediatric Surgery: A Critical Appraisal of the Current Best Evidence in Comparison to Conventional Minimally Invasive Surgery.

Journal of laparoendoscopic & advanced surgical techniques. Part A
INTRODUCTION: In recent years, the use of robotic-assisted surgery (RAS) has expanded within pediatric surgery. Although increasing numbers of pediatric RAS case-series have been published, the level of evidence remains unclear, with authors mainly f...

The rate of mucosal healing by azathioprine therapy and prediction by artificial systems.

The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology
BACKGROUND/AIMS: We aimed to assess the effect of azathioprine on mucosal healing in patients with inflammatory bowel diseases (IBD). Artificial neural networks were applied to IBD data for predicting mucosal remission.

Cortical feature analysis and machine learning improves detection of "MRI-negative" focal cortical dysplasia.

Epilepsy & behavior : E&B
Focal cortical dysplasia (FCD) is the most common cause of pediatric epilepsy and the third most common lesion in adults with treatment-resistant epilepsy. Advances in MRI have revolutionized the diagnosis of FCD, resulting in higher success rates fo...