Children and adolescents could benefit from the use of predictive tools that facilitate
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …

Autism spectrum disorder (ASD) is associated with significant social, communication, and
behavioral challenges. The insufficient number of trained clinicians coupled with limited …

There is a significant delay between parents having concerns and receiving a formal
assessment and Autism Spectrum Disorder (ASD) diagnosis. Telemedicine could be an …

早发现, 早诊断, 早干预是开展自闭症儿童教育康复工作的共识, 但传统识别和诊断方法局限及
专业人员缺乏常导致自闭症儿童错失最佳干预期. 为改善现状, 近年来机器学习凭借其客观准确 …

Background: Diagnostic delays in autism are common, with the time to diagnosis being up to
3 years from the onset of symptoms. Such delays have a proven detrimental effect on …

According to official estimations, autism spectrum disorder (ASD) affects around 1% of
European newborns. The high level of dependency of ASD-affected subjects entails an …

Given the potential benefits of artificial intelligence and machine learning (AI/ML) within
healthcare, it is critical to consider how these technologies can be deployed in pediatric …

Human action recognition (HAR) in untrimmed videos can make insightful predictions of
human behaviour. Previous work on HAR‐included models trained on spatial and temporal …

The aim of this systematic review is to identify recent digital technologies used to detect early
signs of autism spectrum disorder (ASD) in preschool children (ie, up to six years of age). A …

Communication interventions have broadened from dialogical meaning-making,
assessment approaches, to remote-controlled interactive objects. Yet, interpretation of the …