Development of an app for diagnosing autism

Srishti Bhatt 1, *, Saumya Jogy 1 and Astha Puri 2

1 Citizen Hospital, Gurgaon, India.
2 Data Scientist, New York, USA.
 
Review
International Journal of Science and Research Archive, 2024, 12(01), 2406–2410.
Article DOI: 10.30574/ijsra.2024.12.1.1007
Publication history: 
Received on 24 April 2024; revised on 04 June 2024; accepted on 07 June 2024
 
Abstract: 
The early diagnosis of autism spectrum disorder (ASD) is crucial for timely intervention and improved developmental outcomes. Current diagnostic methods, however, often face challenges related to accessibility, cost, and time consumption. This concept note outlines the development of an innovative mobile application designed to assist in the diagnosis of autism. Leveraging advancements in artificial intelligence and machine learning, the app aims to provide an accessible, user-friendly, and cost-effective tool for parents, caregivers, and healthcare professionals. Key features include behavior tracking, developmental milestone assessments, and interactive questionnaires, all tailored to identify early signs of ASD. The app will utilize data analytics to offer preliminary risk assessments and facilitate connections with professional diagnostic services for further evaluation. Emphasis will be placed on creating a culturally sensitive and inclusive platform to ensure broad usability. This initiative holds the potential to revolutionize early autism diagnosis by integrating technology with clinical expertise, ultimately enhancing early intervention efforts and support systems.
 
Keywords: 
Autism diagnosis app; autism spectrum disorder (ASD); Early intervention; Artificial intelligence; Machine learning; Behavior tracking
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0