Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review

M Khodatars, A Shoeibi, D Sadeghi… - Computers in biology …, 2021 - Elsevier
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari… - Frontiers in Molecular …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

Deep learning with image-based autism spectrum disorder analysis: A systematic review

MZ Uddin, MA Shahriar, MN Mahamood… - … Applications of Artificial …, 2024 - Elsevier
Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders associated
with social, communicational, and behavioral difficulties. Early detection thereof is necessary …

Systematic reviews of machine learning in healthcare: a literature review

K Kolasa, B Admassu… - Expert Review of …, 2024 - Taylor & Francis
Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

Role of artificial intelligence for autism diagnosis using DTI and fMRI: A survey

E Helmy, A Elnakib, Y ElNakieb, M Khudri… - Biomedicines, 2023 - mdpi.com
Autism spectrum disorder (ASD) is a wide range of diseases characterized by difficulties with
social skills, repetitive activities, speech, and nonverbal communication. The Centers for …

[PDF][PDF] Detection of autism spectrum disorder using a 1-dimensional convolutional neural network

AK Kareem, MM AL-Ani, AA Nafea - Baghdad Science Journal, 2023 - iasj.net
Abstract Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease
that impairs speech, social interaction, and behavior. Machine learning is a field of artificial …

Machine learning approaches to the identification of children affected by prenatal alcohol exposure: a narrative review

M Suttie, J Kable, AH Mahnke… - Alcohol: Clinical and …, 2024 - Wiley Online Library
Fetal alcohol spectrum disorders (FASDs) affect at least 0.8% of the population globally. The
diagnosis of FASD is uniquely complex, with a heterogeneous physical and …

Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network

NP Tigga, S Garg, N Goyal, J Raj… - Technology and Health …, 2025 - journals.sagepub.com
BACKGROUND: Brain variations are responsible for developmental impairments, including
autism spectrum disorder (ASD). EEG signals efficiently detect neurological conditions by …

[PDF][PDF] Data mining for autism spectrum disorder detection among adults

N Al-Qazzaz, SH Jaafer, IF Abdulazez… - Al-Nahrain Journal for …, 2022 - iasj.net
Abstract Autism Spectrum Disorder (ASD) is one of the most common children's
neurodevelopmental disorders (NDD) with an estimated global incidence of 1% to 2 …

Application of machine learning on eye-tracking data for autism detection: The case of high-functioning adults

KF Kollias, GS Maraslidis, P Sarigiannidis… - AIP Conference …, 2024 - pubs.aip.org
Autism Spectrum Disorder (ASD) is a heterogeneous neurodevelopmental disorder which,
when diagnosed early, facilitates early intervention. However, the lack of objective …