Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools

Abstract Early Autism Spectrum Disorder (ASD) identification is crucial but resource-intensive. This study evaluated a novel two-stage multimodal AI framework for scalable ASD screening using data from 1242 children (18–48 months). A mobile application collected parent-child interaction audio and sc...

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Main Authors: Sookyung Bae, Junho Hong, Sungji Ha, Jiwoo Moon, Jaeeun Yu, Hangnyoung Choi, Junghan Lee, Ryemi Do, Hewoen Sim, Hanna Kim, Hyojeong Lim, Min-Hyeon Park, Eunseol Ko, Chan-Mo Yang, Dongho Lee, Heejeong Yoo, Yoojeong Lee, Guiyoung Bong, Johanna Inhyang Kim, Haneul Sung, Hyo-Won Kim, Eunji Jung, Seungwon Chung, Jung-Woo Son, Jae Hyun Yoo, Sekye Jeon, Hwiyoung Kim, Bung-Nyun Kim, Keun-Ah Cheon
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01914-6
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