The role of intelligent technologies in early detection of autism spectrum disorder (asd): A sco** review
Background: Two-year delay is reported between the first developmental concern raised by
the parents and the diagnosis of ASD (Autism Spectrum Disorder), delaying the start of early …
the parents and the diagnosis of ASD (Autism Spectrum Disorder), delaying the start of early …
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
Artificial intelligence (AI) is becoming increasingly important, especially in the medical field.
While AI has been used in medicine for some time, its growth in the last decade is …
While AI has been used in medicine for some time, its growth in the last decade is …
[HTML][HTML] Quantitative Checklist for Autism in Toddlers (Q-CHAT). A population screening study with follow-up: the case for multiple time-point screening for autism
Original research: Quantitative Checklist for Autism in Toddlers (Q-CHAT). A population
screening study with follow-up: the case for multiple time-point screening for autism - PMC Back …
screening study with follow-up: the case for multiple time-point screening for autism - PMC Back …
Towards autism subtype detection through identification of discriminatory factors using machine learning
Autism spectrum disorder (ASD) is a neuro-developmental disease that has a lifetime impact
on a person's ability to interact and communicate with others. Early discovery of autism can …
on a person's ability to interact and communicate with others. Early discovery of autism can …
Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning
Autism spectrum disorder (ASD) is a complex developmental issue that affects the behavior
and communication abilities of children. It is extremely needed to perceive it at an early age …
and communication abilities of children. It is extremely needed to perceive it at an early age …
Machine learning-based brief version of the Caregiver-Teacher Report Form for preschoolers
Abstract Background The Caregiver-Teacher Report Form of the Child Behavior Checklist
for Ages 1½–5 (C-TRF) is a widely used checklist to identify emotional and behavioral …
for Ages 1½–5 (C-TRF) is a widely used checklist to identify emotional and behavioral …
[HTML][HTML] Modified meta heuristic BAT with ML classifiers for detection of autism spectrum disorder
ASD (autism spectrum disorder) is a complex developmental and neurological disorder that
impacts the social life of the affected person by disturbing their capability for interaction and …
impacts the social life of the affected person by disturbing their capability for interaction and …
A machine learning model based on CHAT-23 for early screening of autism in Chinese children
Introduction Autism spectrum disorder (ASD) is a neurodevelopmental condition that
significantly impacts the mental, emotional, and social development of children. Early …
significantly impacts the mental, emotional, and social development of children. Early …
[HTML][HTML] Develo** a simplified measure to predict the risk of autism spectrum disorders: Abbreviating the M-CHAT-R using a machine learning approach in China
N Pan, L Chen, B Wu, F Chen, J Chen, S Huang… - Psychiatry …, 2025 - Elsevier
Background Early screening for autism spectrum disorder (ASD) is crucial, yet current
assessment tools in Chinese primary child care are limited in efficacy. Objective This study …
assessment tools in Chinese primary child care are limited in efficacy. Objective This study …
Sleep related rhythmic movement disorder: phenotypic characteristics and treatment response in a paediatric cohort
Objective To describe phenotypic, polysomnographic characteristics, impact, and treatment
response in children with sleep related rhythmic movement disorder (SR-RMD). Background …
response in children with sleep related rhythmic movement disorder (SR-RMD). Background …