Published on in Vol 6, No 12 (2019): December
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/14108, first published
.
Journals
- Song J, Yoon N, Jang S, Lee G, Kim B. Neuroimaging-Based Deep Learning in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder. Journal of the Korean Academy of Child and Adolescent Psychiatry 2020;31(3):97 View
- Popovic D, Schiltz K, Falkai P, Koutsouleris N. Präzisionspsychiatrie und der Beitrag von Brain Imaging und anderen Biomarkern. Fortschritte der Neurologie · Psychiatrie 2020;88(12):778 View
- Balcombe L, De Leo D. Digital Mental Health Challenges and the Horizon Ahead for Solutions. JMIR Mental Health 2021;8(3):e26811 View
- Graña M, Silva M. Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data. International Journal of Neural Systems 2021;31(04):2150009 View
- Cavus N, Lawan A, Ibrahim Z, Dahiru A, Tahir S, Abdulrazak U, Hussaini A. A Systematic Literature Review on the Application of Machine-Learning Models in Behavioral Assessment of Autism Spectrum Disorder. Journal of Personalized Medicine 2021;11(4):299 View
- Wang H, Avillach P. Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning. JMIR Medical Informatics 2021;9(4):e24754 View
- Lin P, Moni M, Gau S, Eapen V. Identifying Subgroups of Patients With Autism by Gene Expression Profiles Using Machine Learning Algorithms. Frontiers in Psychiatry 2021;12 View
- Squarcina L, Nosari G, Marin R, Castellani U, Bellani M, Bonivento C, Fabbro F, Molteni M, Brambilla P. Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine. Brain and Behavior 2021;11(8) View
- Ghosh T, Banna M, Rahman M, Kaiser M, Mahmud M, Hosen A, Cho G. Artificial intelligence and internet of things in screening and management of autism spectrum disorder. Sustainable Cities and Society 2021;74:103189 View
- Jayakumar S, Sounderajah V, Normahani P, Harling L, Markar S, Ashrafian H, Darzi A. Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study. npj Digital Medicine 2022;5(1) View
- Liu X, Chen J, Zhang K, Wang X, Wang G, Zhang R. The evaluation of the cognitive and language abilities of autistic children with interactive game technology based on the PEP-3 scale. Education and Information Technologies 2022;27(9):12027 View
- Abd-alrazaq A, Alhuwail D, Schneider J, Toro C, Ahmed A, Alzubaidi M, Alajlani M, Househ M. The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review. npj Digital Medicine 2022;5(1) View
- Balcombe L, De Leo D. Digital Mental Health Amid COVID-19. Encyclopedia 2021;1(4):1047 View
- Vieira S, Liang X, Guiomar R, Mechelli A. Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies. Clinical Psychology Review 2022;97:102193 View
- Balcombe L, De Leo D. The Potential Impact of Adjunct Digital Tools and Technology to Help Distressed and Suicidal Men: An Integrative Review. Frontiers in Psychology 2022;12 View
- Dwyer D, Koutsouleris N. Annual Research Review: Translational machine learning for child and adolescent psychiatry. Journal of Child Psychology and Psychiatry 2022;63(4):421 View
- Kong X, Wei Z, Sun B, Tu Y, Huang Y, Cheng M, Yu S, Wilson G, Park J, Feng Z, Vangel M, Kong J, Wan G. Different Eye Tracking Patterns in Autism Spectrum Disorder in Toddler and Preschool Children. Frontiers in Psychiatry 2022;13 View
- Bowe A, Lightbody G, Staines A, Murray D. Big data, machine learning, and population health: predicting cognitive outcomes in childhood. Pediatric Research 2023;93(2):300 View
- Nguyen T, Ho C, Bui H, Ho L, Ta V. Multidimensional Machine Learning for Assessing Parameters Associated With COVID-19 in Vietnam: Validation Study. JMIR Formative Research 2023;7:e42895 View
- Alsaade F, Alzahrani M, Koundal D. Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms. Computational Intelligence and Neuroscience 2022;2022:1 View
- Wei Q, Cao H, Shi Y, Xu X, Li T. Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis. Journal of Biomedical Informatics 2023;137:104254 View
- Kim J, Bang S, Yang J, Kwon H, Jang S, Roh S, Kim S, Kim M, Lee H, Lee J, Kim B. Classification of Preschoolers with Low-Functioning Autism Spectrum Disorder Using Multimodal MRI Data. Journal of Autism and Developmental Disorders 2023;53(1):25 View
- Balcombe L, De Leo D. Human-Computer Interaction in Digital Mental Health. Informatics 2022;9(1):14 View
- Dubey I, Bishain R, Dasgupta J, Bhavnani S, Belmonte M, Gliga T, Mukherjee D, Lockwood Estrin G, Johnson M, Chandran S, Patel V, Gulati S, Divan G, Chakrabarti B. Using mobile health technology to assess childhood autism in low-resource community settings in India: An innovation to address the detection gap. Autism 2024;28(3):755 View
- Li L, Haley L, Boyd A, Bernstam E. Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review. Journal of Biomedical Informatics 2023;147:104531 View
- Valizadeh A, Moassefi M, Nakhostin-Ansari A, Heidari Some’eh S, Hosseini-Asl H, Saghab Torbati M, Aghajani R, Maleki Ghorbani Z, Menbari-Oskouie I, Aghajani F, Mirzamohamadi A, Ghafouri M, Faghani S, Memari A. Automated diagnosis of autism with artificial intelligence: State of the art. Reviews in the Neurosciences 2024;35(2):141 View
- Rashid A, Shaker S. Autism spectrum Disorder detection Using Face Features based on Deep Neural network. Wasit Journal of Computer and Mathematics Science 2023;2(1):74 View
- Washington P, Wall D. A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism. Annual Review of Biomedical Data Science 2023;6(1):211 View
- Li Y, Huang W, Song P. A face image classification method of autistic children based on the two-phase transfer learning. Frontiers in Psychology 2023;14 View
- Giansanti D. An Umbrella Review of the Fusion of fMRI and AI in Autism. Diagnostics 2023;13(23):3552 View
- Koehler J, Dong M, Song D, Bong G, Koutsouleris N, Yoo H, Falter-Wagner C. Classifying autism in a clinical population based on motion synchrony: a proof-of-concept study using real-life diagnostic interviews. Scientific Reports 2024;14(1) View
- Kim H, Leventhal B, Koh Y, Gennatas E, Kim Y. Development and Validation of Prediction Models for the Diagnosis of Autism Spectrum Disorder in a Korean General Population. JAACAP Open 2024 View
- Chawla M, Panda S, Khullar V. SMILEY—assistive application to support social and emotional skills in SPCD individuals. Medical & Biological Engineering & Computing 2024;62(11):3507 View
- El-Ashram R, Aldaghmi O, Mohammed S. Requirements for the Application of Artificial Intelligence in Diagnosing Autism Spectrum Disorder: Specialists’ Perception. Journal of Disability Research 2024;3(7) View
- Xu X, Li Y, Ding N, Zang Y, Sun S, Shen G, Song X. Quantitative assessment of brain structural abnormalities in children with autism spectrum disorder based on artificial intelligence automatic brain segmentation technology and machine learning methods. Psychiatry Research: Neuroimaging 2024;345:111901 View
- Ding Y, Zhang H, Qiu T. Deep learning approach to predict autism spectrum disorder: a systematic review and meta-analysis. BMC Psychiatry 2024;24(1) View
- Jin L, Cui H, Zhang P, Cai C. Early diagnostic value of home video–based machine learning in autism spectrum disorder: a meta-analysis. European Journal of Pediatrics 2024;184(1) View
Books/Policy Documents
- Bedi P, Goyal S, Kumar J, Kumar S. Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder. View
- Voruganti H, Endla A, Vaibhavi B, Vatadi K, Chalichemala J. Sustainable Science and Intelligent Technologies for Societal Development. View
- Wagels L, Habel U, Nickl-Jockschat T. Tasman’s Psychiatry. View
- Wagels L, Habel U, Nickl-Jockschat T. Tasman’s Psychiatry. View