Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …
Gait analysis in Parkinson's disease: An overview of the most accurate markers for diagnosis and symptoms monitoring
L Di Biase, A Di Santo, ML Caminiti, A De Liso… - Sensors, 2020 - mdpi.com
The aim of this review is to summarize that most relevant technologies used to evaluate gait
features and the associated algorithms that have shown promise to aid diagnosis and …
features and the associated algorithms that have shown promise to aid diagnosis and …
Machine learning algorithm validation with a limited sample size
Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other
technology-based data collection methods have led to a torrent of high dimensional …
technology-based data collection methods have led to a torrent of high dimensional …
Evaluation of an artificial intelligence-based medical device for diagnosis of autism spectrum disorder
JT Megerian, S Dey, RD Melmed, DL Coury… - NPJ digital …, 2022 - nature.com
Autism spectrum disorder (ASD) can be reliably diagnosed at 18 months, yet significant
diagnostic delays persist in the United States. This double-blinded, multi-site, prospective …
diagnostic delays persist in the United States. This double-blinded, multi-site, prospective …
A review of machine learning methods of feature selection and classification for autism spectrum disorder
Autism Spectrum Disorder (ASD), according to DSM-5 in the American Psychiatric
Association, is a neurodevelopmental disorder that includes deficits of social communication …
Association, is a neurodevelopmental disorder that includes deficits of social communication …
Artificial intelligence and internet of things in screening and management of autism spectrum disorder
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 …
individuals find it extremely difficult to cope with the world's pace, can not communicate …
Efficient machine learning models for early stage detection of autism spectrum disorder
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely impairs an
individual's cognitive, linguistic, object recognition, communication, and social abilities. This …
individual's cognitive, linguistic, object recognition, communication, and social abilities. This …
Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: a systematic review
The exact nature, harmful effects and aetiology of autism spectrum disorder (ASD) have
caused widespread confusion. Artificial intelligence (AI) science helps solve challenging …
caused widespread confusion. Artificial intelligence (AI) science helps solve challenging …
Functional connectivity-based prediction of autism on site harmonized ABIDE dataset
M Ingalhalikar, S Shinde, A Karmarkar… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: The larger sample sizes available from multi-site publicly available neuroimaging
data repositories makes machine-learning based diagnostic classification of mental …
data repositories makes machine-learning based diagnostic classification of mental …
[Retracted] An AI‐Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders
M Abdel Hameed, M Hassaballah… - Computational …, 2022 - Wiley Online Library
Smart monitoring and assisted living systems for cognitive health assessment play a central
role in assessment of individuals' health conditions. Autistic children suffer from some …
role in assessment of individuals' health conditions. Autistic children suffer from some …