A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism

P Washington, DP Wall - Annual review of biomedical data …, 2023 - annualreviews.org
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

[HTML][HTML] Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies

S Vieira, X Liang, R Guiomar, A Mechelli - Clinical Psychology Review, 2022 - Elsevier
Cognitive-behavioural therapy (CBT) is the first line of treatment for several mental health
disorders. However, not all patients show clinical improvements after receiving CBT …

[Retracted] Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms

FW Alsaade, MS Alzahrani - Computational Intelligence and …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …

Artificial intelligence and internet of things in screening and management of autism spectrum disorder

T Ghosh, MH Al Banna, MS Rahman, MS Kaiser… - Sustainable Cities and …, 2021 - Elsevier
Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …

Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study

S Jayakumar, V Sounderajah, P Normahani… - NPJ Digital …, 2022 - nature.com
Artificial intelligence (AI) centred diagnostic systems are increasingly recognised as robust
solutions in healthcare delivery pathways. In turn, there has been a concurrent rise in …

The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review

A Abd-Alrazaq, D Alhuwail, J Schneider, CT Toro… - Npj Digital …, 2022 - nature.com
Artificial intelligence (AI) has been successfully exploited in diagnosing many mental
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI …

Annual Research Review: Translational machine learning for child and adolescent psychiatry

D Dwyer, N Koutsouleris - Journal of Child Psychology and …, 2022 - Wiley Online Library
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 …

Human-computer interaction in digital mental health

L Balcombe, D De Leo - Informatics, 2022 - mdpi.com
Human-computer interaction (HCI) has contributed to the design and development of some
efficient, user-friendly, cost-effective, and adaptable digital mental health solutions. But HCI …

[HTML][HTML] Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis

Q Wei, H Cao, Y Shi, X Xu, T Li - Journal of biomedical informatics, 2023 - Elsevier
Background Machine learning has been widely used to identify Autism Spectrum Disorder
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …

An Umbrella Review of the Fusion of fMRI and AI in Autism

D Giansanti - Diagnostics, 2023 - mdpi.com
The role of functional magnetic resonance imaging (fMRI) is assuming an increasingly
central role in autism diagnosis. The integration of Artificial Intelligence (AI) into the realm of …