AIMC Topic: Child

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Psychological perspectives on robotic assisted pivotal response treatment in autism.

Scientific reports
The impact of Pivotal Response Treatment (PRT) assisted by the social robot Pepper on the emotional regulation and treatment adherence of children with autism spectrum disorder (ASD) and their caregivers is explored. Given the integration of technolo...

Predicting myopia risk using a machine learning model based on fundus imageomics.

Scientific reports
The purpose of this study was to develop a machine learning-based model using quantitative color fundus photography (CFP) data to predict myopia risk in school-age children, based on the axial length/corneal curvature radius (AL/CR) ratio, and to ide...

Uncovering age-related differences in communication by people with persistent pain when interacting with a pain history assessment chatbot in Australia: an exploratory mixed-methods study using a comparative analysis.

BMJ open
OBJECTIVES: There is limited research exploring the age-related difference in communication when describing pain experiences. This project aimed to identify key differences between adolescents', young adults' and adults' (i) preferred communication m...

Can artificial intelligence and face recognition using deep learning detect emotions in children with autism?

PloS one
BACKGROUND/OBJECTIVES: This study aimed to evaluate the performance of deep learning models for recognizing facial expressions of children with autism through face recognition technologies.

Accuracy of AI-based binary classification for detecting malocclusion in the mixed dentition stage.

PloS one
BACKGROUND: Malocclusion is a common anomaly and is frequently observed in children and adults. Early detection and treatment of malocclusion is necessary to prevent and minimize complications. Therefore, developing a tool to check dentition at an ea...

Physiological Response in Children with Autism Spectrum Disorder (ASD) During Social Robot Interaction.

International journal of neural systems
In a world where social interaction presents challenges for children with Autism Spectrum Disorder (ASD), robots are stepping in as allies in emotional learning. This study examined how affective interactions with a humanoid robot elicited physiologi...

An explainable machine learning-based approach to predicting treatment response for neurofeedback in ADHD.

Scientific reports
Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder with serious long-term effects if untreated, emphasizing the need for early treatment given its neurobiological heterogeneity. This study introduces a novel expla...

An automated classification of brain white matter inherited disorders (Leukodystrophy) using MRI image features.

Biomedical physics & engineering express
Leukodystrophies are a group of inherited disorders that predominantly and selectively affect the white matter of the central nervous system. Their overlapping clinical and imaging manifestations make a timely and accurate diagnosis challenging. In t...

Development and validation of a machine learning model for critical progression risk in pediatric severe community-acquired pneumonia.

Scientific reports
This study aimed to utilize various machine learning algorithms to develop a predictive model for the progression of severe community-acquired pneumonia (SCAP) in children to critical severe community-acquired pneumonia (cSCAP). Retrospective analysi...