Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Akshaya, A.V.R.; Vijayalakshmi, B.; Nisha, P.; Ramachandran, Anupriya; Sathiyaseelan, Vasanthaseelan Title A name given to the resource Artificial Intelligence and Machine Learning in Detecting Autism: Transforming Diagnosis and Care Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Artificial Intelligence in Detecting Autism;pp.124-142 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003541318-14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003541318-14</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037471163?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037471163?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Akshaya A.V.R., School of Business and Management, CHRIST University, Bengaluru, India; Vijayalakshmi B., Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India; Nisha P., Department of CSE, Dr. NGP Institute of Technology, Coimbatore, India; Ramachandran A., Department of Software Systems, Sri Krishna Arts and Science, Kuniyamuthur, Coimbatore, India; Sathiyaseelan V., Department of Autotronics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India Description An account of the resource Autism Spectrum Disorder (ASD) is a condition that involves many aspects and falls into the category of neurodevelopmental disorders. This is shown by problems in socializing, talking and repetitive actions. Despite the fact that early intervention is beneficial such initiatives may be postponed due to the lengthy process of assessing the disease by qualified doctors. More people are interested in AI and ML technologies which may help detect ASD earlier and more accurately. The goal of this paper is to describe the machine learning techniques used to spot ASD in individuals of any age, using information from behaviour, genes and brain images. It applies supervised learning, unsupervised learning and deep learning, using Support Vector Machines, Random Forests and Convolutional Neural Networks to find autistic patterns in complex data. We also discuss the use of facial recognition, speech recognition, motion analysis and wearable devices in helping with early detection and creating personal intervention programs. At the same time, these technologies are concerned with data accuracy, biased algorithms, lack of openness and ethical and social issues such as data safety and consent. It explains the benefits and the issues that come with using AI and ML in healthcare to find cases of autism spectrum disorder (ASD). By working together, policymakers, researchers and clinicians can help these technologies advance the diagnosis and treatment of ASD which will improve the lives of those with ASD and their families. 2026 Ram Kumar Chenthur Pandian, Shanmuga Raju Sekar, Subrata Chowdhury, Muhammad Rukunuddin Ghalib, and Kassian T.T. Amesho. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104053668-1; 978-103286653-6; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online