AIMC Topic: Child

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Deep neural networks and deep deterministic policy gradient for early ASD diagnosis and personalized intervention in children.

Scientific reports
Early diagnosis and personalized intervention for Autism Spectrum Disorder (ASD) in children can potentially improve developmental outcomes, though current methods often lack scalability and adaptability. This study introduces an integrated system co...

New intelligent music therapy method for applications of enhancing social skills of autism children based on TL-GCN and deep learning.

Scientific reports
To address the long-standing challenges children with autism face in social skills and emotional regulation, this study introduces Emotion-based Music Intelligent Network (EmoMusik-Net)-a deep learning model designed for intelligent music therapy. Th...

Inferences on the Watts-Strogatz Model: A Study on Brain Functional Connectivity.

Neuroinformatics
Modelling real-world networks allows investigating the structure and the dynamics of such networks, which led to significant developments in various scientific fields. One of the most used models in these investigations is the Watts-Strogatz, with a ...

Socially Assistive Robots for Pain Management and Emotional Responses in Pediatric Hospital Care: Systematic Review and Meta-Analysis.

Journal of medical Internet research
BACKGROUND: Pain and emotional distress are prevalent concerns in pediatric hospital care, underscoring the need for safe and evidence-based nonpharmacological interventions. Socially assistive robots (SARs) are innovative tools that alleviate pain a...

Automated Bone Age Assessment and Adult Height Prediction from Pediatric Hand Radiographs via a Cascaded Deep Learning Framework.

Journal of medical systems
Bone age assessment and adult height prediction are essential for evaluating pediatric growth. Traditional methods rely on manual radiographic interpretation, which is subjective, time-consuming, and prone to inter-observer variability. This study pr...

Spatiotemporal multimodal emotion recognition using Temporal video sequences and pose features for child emotion classification.

Scientific reports
Developmental psychology and affective computing have placed great emphasis on identifying children's emotional cues in recent times. In this study, a novel Spatio-Temporal Multimodal Emotion Recognition Network (ST-MERN) for child emotion classifica...

The impact of negative emotions on adolescents' nonsuicidal self-injury thoughts: an integrated application of machine learning and multilevel logistic models.

PloS one
Non-Suicidal Self-Injury (NSSI) is a prevalent and complex behavior among adolescents, often linked to negative emotions such as loneliness, anxiety, and emptiness. Traditional self-report and experimental methods rely on autobiographical recall and ...

Evaluation of the readability, quality, and accuracy of AI chatbot responses to questions about deleterious oral habits.

BMC oral health
BACKGROUND: Artificial intelligence (AI)-based chatbots are increasingly used by parents as convenient and fast-access sources of information on health-related topics. This study aimed to assess the readability, accuracy and overall quality of respon...

An enhanced social emotional recognition model using bidirectional gated recurrent unit and attention mechanism with advanced optimization algorithms.

Scientific reports
Social-emotional learning (SEL) is gradually becoming a region of attention for defining children's school readiness and forecasting academic success. It is the procedure of incorporating cognition, behaviour, and emotion into daily life. School stru...