Integrating artificial intelligence and parent-child interactions in the assessment of autism spectrum disorder risks: A theoretical analysis
DOI:
https://doi.org/10.33910/2686-9527-2025-7-4-492-503Keywords:
artificial intelligence, autism spectrum disorders, early age, neural networks, risk assessmentAbstract
Introduction. Artificial intelligence (AI) is increasingly being integrated into medicine and related fields. Successful applications of AI in the differential diagnosis of autism spectrum disorders (ASD) have been documented. These studies, however, typically utilize large amounts of data, including electroencephalography. The authors explore the theoretical feasibility of using AI to assess ASD risk at an early age using data from only a smartphone video camera and a parental questionnaire.
Materials and Methods. The study is theoretical in nature; therefore, the methodology involves a theoretical analysis and comparison of psychological research with current AI capabilities, alongside consideration of the potential application of the proposed model in India, Brazil, and Russia. Within psychology, an analysis of methods for assessing the most significant risk factors for ASD development was conducted. Within information technology, principles for creating an AI methodology are given.
Results. It is potentially feasible to develop and implement a neural network-based method capable of analysing relatively simple behavioural factors in infants during interactions with a parent. Such a method could be implemented as a smartphone application for parents or as a web-based program. However, analysis indicates that in a cross-cultural context, significant challenges may arise concerning data privacy and the need for extensive, culturally diverse datasets (requiring hundreds of thousands of entries) to train a robust AI model. The authors posit that the simplicity of the proposed application — requiring parents to complete a brief questionnaire several times a month and record a video of their child’s emotions or reactions — could facilitate the creation of such a dataset.
Conclusion. Early diagnosis of ASD can significantly improve outcome for children’s mental development. Signs of ASD can be detected in children as young as 18 to 24 months.
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Copyright (c) 2025 Maneela Sirisety, El Hamzaoui Oussama, Eduard V. Patrakov, Vasilii I. Borisov, Taisa Rocha Navasconi Berbert, Ravi Shanker Datti, Anai Adario Hungaro, Heber Amílcar Martins, Olga V. Sokolova
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