AIMC Topic: Child

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A Survey of Expectations About the Role of Robots in Robot-Assisted Therapy for Children with ASD: Ethical Acceptability, Trust, Sociability, Appearance, and Attachment.

Science and engineering ethics
The use of robots in therapy for children with autism spectrum disorder (ASD) raises issues concerning the ethical and social acceptability of this technology and, more generally, about human-robot interaction. However, usually philosophical papers o...

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.

BMC medical informatics and decision making
BACKGROUND: Manual eligibility screening (ES) for a clinical trial typically requires a labor-intensive review of patient records that utilizes many resources. Leveraging state-of-the-art natural language processing (NLP) and information extraction (...

Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism.

NeuroImage. Clinical
Despite consensus on the neurological nature of autism spectrum disorders (ASD), brain biomarkers remain unknown and diagnosis continues to be based on behavioral criteria. Growing evidence suggests that brain abnormalities in ASD occur at the level ...

What is it like to walk with the help of a robot? Children's perspectives on robotic gait training technology.

Disability and rehabilitation
PURPOSE: Robotic gait training is an emerging intervention that holds great therapeutic promise in the rehabilitation of children with neuromotor disorders such as cerebral palsy (CP). Little is known about children and parents' views on this new tec...

Multiscale Modeling of Gene-Behavior Associations in an Artificial Neural Network Model of Cognitive Development.

Cognitive science
In the multidisciplinary field of developmental cognitive neuroscience, statistical associations between levels of description play an increasingly important role. One example of such associations is the observation of correlations between relatively...

Robot-assisted gait training might be beneficial for more severely affected children with cerebral palsy.

Developmental neurorehabilitation
PURPOSE: Robot-assisted gait training (RAGT) can complement conventional therapies in children with cerebral palsy. We investigated changes in walking-related outcomes between children with different Gross Motor Function Classification System (GMFCS)...

Relative Attribute SVM+ Learning for Age Estimation.

IEEE transactions on cybernetics
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...

Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...

Comparing the efficacy and safety between robotic-assisted versus open pyeloplasty in children: a systemic review and meta-analysis.

World journal of urology
OBJECTIVE: This manuscript is mainly to systemically review the published reports that compared the efficacy and safety of robotic-assisted (RP) versus open pyeloplasty (OP) in children with ureteropelvic junction obstruction (UPJO).