Automated diagnosis of autism with artificial intelligence: State of the art

Survey of Explainable AI Techniques in Healthcare

(2023) Ahmad Chaddad et al.   SENSORS

A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers

(2023) Zhenpeng Chen et al.   ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY

Health system-scale language models are all-purpose prediction engines

(2023) Lavender Yao Jiang et al.   NATURE

How can we manage biases in artificial intelligence systems – A systematic literature review

(2023) Dr. Varsha P．S．   International Journal of Information Management Data Insights

Non-Oscillatory Connectivity Approach for Classification of Autism Spectrum Disorder Subtypes Using Resting-State fMRI

(2022) Alishba Sadiq et al.   IEEE Access

Global prevalence of autism: A systematic review update

(2022) Jinan Zeidan et al.   Autism Research

Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset

(2022) Chuizheng Meng et al.   Scientific Reports

Steps to avoid overuse and misuse of machine learning in clinical research

(2022) Victor Volovici et al.   NATURE MEDICINE

How to Minimize the Impact of Experts’ Non-rational Beliefs on Their Judgments on Autism

(2022) Maciej Wodziński et al.   COMMUNITY MENTAL HEALTH JOURNAL

Integrating genomic and resting State fMRI for efficient autism spectrum disorder classification

(2021) Peixin Lu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Single-participant structural similarity matrices lead to greater accuracy in classification of participants than function in autism in MRI

(2021) Matthew J. Leming et al.   Molecular Autism

Altered relationship between subjective perception and central representation of touch hedonics in adolescents with autism-spectrum disorder

(2021) Irene Perini et al.   Translational Psychiatry

Brain imaging-based machine learning in autism spectrum disorder: methods and applications

(2021) Ming Xu et al.   JOURNAL OF NEUROSCIENCE METHODS

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

(2021) Xiaoxiao Li et al.   MEDICAL IMAGE ANALYSIS

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

(2021) Viknesh Sounderajah et al.   BMJ Open

Autism Spectrum Disorder Studies Using fMRI Data and Machine Learning: A Review

(2021) Meijie Liu et al.   Frontiers in Neuroscience

Subjective and Electroencephalographic Sleep Parameters in Children and Adolescents with Autism Spectrum Disorder: A Systematic Review

(2021) Maria Giuseppina Petruzzelli et al.   Journal of Clinical Medicine

PRISMA-S: an extension to the PRISMA statement for reporting literature searches in systematic reviews

(2021) Melissa L. Rethlefsen et al.   JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION

Classification of autism spectrum disorders individuals and controls using phase and envelope features from resting-state fMRI data

(2021) Mahshid Naghashzadeh et al.   Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization

Region-Wise Brain Response Classification of ASD Children Using EEG and BiLSTM RNN

(2021) Thanga Aarthy Manoharan et al.   CLINICAL EEG AND NEUROSCIENCE

Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling

(2021) Naoki Okamoto et al.   Frontiers in Neuroinformatics

Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review

(2021) Ahmad Chaddad et al.   Diagnostics

Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018

(2021) Matthew J. Maenner et al.   MMWR Surveillance Summaries

A robust method for early diagnosis of autism spectrum disorder from EEG signals based on feature selection and DBSCAN method

(2020) Donya Abdolzadegan et al.   Biocybernetics and Biomedical Engineering

Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder

(2020) Jinlong Hu et al.   Computational and Mathematical Methods in Medicine

Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks

(2020) Nicolas Georges et al.   PATTERN RECOGNITION

Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks

(2020) Feng Zhao et al.   Frontiers in Neuroscience

Dealing with confounders and outliers in classification medical studies: The Autism Spectrum Disorders case study

(2020) Elisa Ferrari et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care

(2020) Tina Hernandez-Boussard et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity

(2020) Maya A. Reiter et al.   NEURAL COMPUTING & APPLICATIONS

Brain MRI analysis using a deep learning based evolutionary approach

(2020) Hossein Shahamat et al.   NEURAL NETWORKS

The Importance of Anti-correlations in Graph Theory Based Classification of Autism Spectrum Disorder

(2020) Amirali Kazeminejad et al.   Frontiers in Neuroscience

Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results

(2020) Xiaoxiao Li et al.   MEDICAL IMAGE ANALYSIS

Machine learning (ML) for the diagnosis of autism spectrum disorder (ASD) using brain imaging

(2020) Hidir Selcuk Nogay et al.   REVIEWS IN THE NEUROSCIENCES

Identifying individuals with autism spectrum disorder based on the principal components of whole-brain phase synchrony

(2020) Xueke Ma et al.   NEUROSCIENCE LETTERS

An fMRI Feature Selection Method Based on a Minimum Spanning Tree for Identifying Patients with Autism

(2020) Chunlei Shi et al.   Symmetry-Basel

A new method for synthesizing test accuracy data outperformed the bivariate method

(2020) Luis Furuya-Kanamori et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Sleep in Adults with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis of subjective and objective studies

(2019) Bethany Morgan et al.   SLEEP MEDICINE

Early Autism Screening: A Comprehensive Review

(2019) Fadi Thabtah et al.   International Journal of Environmental Research and Public Health

Key challenges for delivering clinical impact with artificial intelligence

(2019) Christopher J. Kelly et al.   BMC Medicine

Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes

(2019) Olfa Graa et al.   JOURNAL OF NEUROSCIENCE METHODS

Machine learning algorithm validation with a limited sample size

(2019) Andrius Vabalas et al.   PLoS One

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI

(2018) Feng Zhao et al.   Frontiers in Human Neuroscience

Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies

(2018) Matthew D. F. McInnes et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

The effect of feature selection on multivariate pattern analysis of structural brain MR images

(2018) Ayşe Demirhan   Physica Medica-European Journal of Medical Physics

Shared endo-phenotypes of default mode dsfunction in attention deficit/hyperactivity disorder and autism spectrum disorder

(2018) Julius M. Kernbach et al.   Translational Psychiatry

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

The mythos of model interpretability

(2018) Zachary C. Lipton   COMMUNICATIONS OF THE ACM

Deep Learning—A Technology With the Potential to Transform Health Care

(2018) Geoffrey Hinton   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis

(2018) Eunji Jun et al.   NEUROIMAGE

Enhancing the representation of functional connectivity networks by fusing multi-view information for autism spectrum disorder diagnosis

(2018) Huifang Huang et al.   HUMAN BRAIN MAPPING

fMRIPrep: a robust preprocessing pipeline for functional MRI

(2018) Oscar Esteban et al.   NATURE METHODS

Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis

(2018) Mayssa Soussia et al.   Frontiers in Neuroinformatics

Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session

(2017) Marc D. Kohli et al.   JOURNAL OF DIGITAL IMAGING

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

(2017) Mohammad R. Arbabshirani et al.   NEUROIMAGE

Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification

(2017) Weikai Li et al.   Frontiers in Neuroinformatics

PRESS Peer Review of Electronic Search Strategies: 2015 Guideline Statement

(2016) Jessie McGowan et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example

(2016) Pegah Kassraian-Fard et al.   Frontiers in Psychiatry

Advances in the meta-analysis of heterogeneous clinical trials I: The inverse variance heterogeneity model

(2015) Suhail A.R. Doi et al.   Contemporary Clinical Trials

Dissemination and publication of research findings: an updated review of related biases

(2014) F Song et al.   HEALTH TECHNOLOGY ASSESSMENT

Testing for publication bias in diagnostic meta-analysis: a simulation study

(2014) Paul-Christian Bürkner et al.   STATISTICS IN MEDICINE

QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies

(2013) Penny F. Whiting   ANNALS OF INTERNAL MEDICINE

The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism

(2013) A Di Martino et al.   MOLECULAR PSYCHIATRY

The Neuro Bureau Preprocessing Initiative: open sharing of preprocessed neuroimaging data and derivatives

(2013) Craddock Cameron et al.   Frontiers in Neuroinformatics

Sharing Heterogeneous Data: The National Database for Autism Research

(2012) Dan Hall et al.   NEUROINFORMATICS

Systematic reviews: CRD's guidance for undertaking reviews in health care

(2010) Evelina Tacconelli   LANCET INFECTIOUS DISEASES

Grading quality of evidence and strength of recommendations in clinical practice guidelines: Part 2 of 3. The GRADE approach to grading quality of evidence about diagnostic tests and strategies

(2009) J. L. Brożek et al.   ALLERGY