AIMC Topic: Child

Clear Filters Showing 1661 to 1670 of 3433 articles

Automated segmentation of magnetic resonance bone marrow signal: a feasibility study.

Pediatric radiology
BACKGROUND: Manual assessment of bone marrow signal is time-consuming and requires meticulous standardisation to secure adequate precision of findings.

A neuromorphic spiking neural network detects epileptic high frequency oscillations in the scalp EEG.

Scientific reports
Interictal High Frequency Oscillations (HFO) are measurable in scalp EEG. This development has aroused interest in investigating their potential as biomarkers of epileptogenesis, seizure propensity, disease severity, and treatment response. The deman...

Effects of Parental Involvement in Robot-Assisted Autism Therapy.

Journal of autism and developmental disorders
Parental involvement in traditional autism therapy is key to the effective treatment of children with ASD. Little is known about parental involvement in robot-assisted autism therapy (RAAT)-novel therapeutic support for children with ASD. Our study i...

Use of Robotic Platforms as a Tool to Support STEM and Physical Education in Developed Countries: A Descriptive Analysis.

Sensors (Basel, Switzerland)
The lack of interest of children at school is one of the biggest problems that Mexican education faces. Two important factors causing this lack of interest are the predominant methodology used in Mexican schools and the technology as a barrier for at...

Frameless robot-assisted stereotactic biopsies for lesions of the brainstem-a series of 103 consecutive biopsies.

Journal of neuro-oncology
PURPOSE: Targeted treatment for brainstem lesions requires above all a precise histopathological and molecular diagnosis. In the current technological era, robot-assisted stereotactic biopsies represent an accurate and safe procedure for tissue diagn...

A Systematic Review of Research on Robot-Assisted Therapy for Children with Autism.

Sensors (Basel, Switzerland)
Recent studies have shown that children with autism may be interested in playing with an interactive robot. Moreover, the robot can engage these children in ways that demonstrate essential aspects of human interaction, guiding them in therapeutic ses...

Deep learning-based school attendance prediction for autistic students.

Scientific reports
Autism Spectrum Disorder is a neurodevelopmental disorder characterized by deficits in social communication and interaction as well as the presence of repetitive, restricted patterns of behavior, interests, or activities. Many autistic students exper...

Upper or lower tract approach for duplex anomalies? A bi-institutional comparative analysis of robot-assisted approaches.

Journal of robotic surgery
Optimal management of duplication anomalies may include an upper or lower tract surgical approach. In the contemporary era, the robot-assisted laparoscopic heminephrectomy (RALHN) and robot-assisted laparoscopic ipsilateral ureteroureterostomy (RALIU...

Video-Based Automatic Baby Motion Analysis for Early Neurological Disorder Diagnosis: State of the Art and Future Directions.

Sensors (Basel, Switzerland)
Neurodevelopmental disorders (NDD) are impairments of the growth and development of the brain and/or central nervous system. In the light of clinical findings on early diagnosis of NDD and prompted by recent advances in hardware and software technolo...

External validation of deep learning-based bone-age software: a preliminary study with real world data.

Scientific reports
Artificial intelligence (AI) is increasingly being used in bone-age (BA) assessment due to its complicated and lengthy nature. We aimed to evaluate the clinical performance of a commercially available deep learning (DL)-based software for BA assessme...