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연세대학교 의과대학 융합의학과
npj Digit. Med., Published: 21 August 2025;8,538(2025) | https://doi.org/10.1038/s41746-025-01914-6
Multimodal AI for risk stratification in autism spectrum disorder: integrating voice and screening tools
Sookyung Bae1, Junho Hong2, SungjiHa3, Jiwoo Moon4, JaeeunYu3, Hangnyoung Choi5, Junghan Lee5, Ryemi Do6, Hewoen Sim6, Hanna Kim6, Hyojeong Lim6, Min-Hyeon Park7, Eunseol Ko8, Chan-Mo Yang9,10, Dongho Lee9, Heejeong Yoo11,12, Yoojeong Lee11, Guiyoung Bong11, Johanna Inhyang Kim13, Haneul Sung14, Hyo-Won Kim15, Eunji Jung16, Seungwon Chung17, Jung-WooSon17, Jae Hyun Yoo18, Sekye Jeon18, Hwiyoung Kim2,19, Bung-Nyun Kim20 & Keun-Ah Cheon5
1Department of Integrated Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
2Department. of Artificial intelligence, Yonsei University, Seoul, Republic of Korea.
3Department of Psychiatry, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
4Department of Biomedical and Mechanical Engineering, Ewha Womans University, Seoul, Republic of Korea.
5Department of Children and Adolescent Psychiatry, Department of Psychiatry, Institute of Behavioral Sciencein Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
6Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
7Department of Psychiatry, Eunpyeong St. Mary’s Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
8Department of Psychiatry, Eunpyeong St .Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
9Department of Psychiatry, Wonkwang University Hospital, Iksan, Republic of Korea.
10Department of Psychiatry, School of Medicine, Wonkwang University, Iksan, Republic of Korea.
11Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
12Departmentof Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
13Department of Psychiatry, Hanyang University College of Medicine, Seoul, Republic of Korea.
14Institute of Mental Health, Hanyang University Industry-University Cooperation Foundation, Seoul, Republic of Korea.
15Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
16Yonsei Jaram Psychiatry Clinic, Seoul, Republic of Korea.
17Department of Psychiatry, Chungbuk National University Hospital, Cheongju, Republic of Korea.
18Department of Psychiatry, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
19Department of Neurosurgery,Yonsei University College of Medicine, Seoul, Republic of Korea.
20Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
Corresponding authors
Correspondence to Hwiyoung Kim, Bung-Nyun Kim or Keun-Ah Cheon.
1Department of Integrated Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
2Department. of Artificial intelligence, Yonsei University, Seoul, Republic of Korea.
3Department of Psychiatry, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
4Department of Biomedical and Mechanical Engineering, Ewha Womans University, Seoul, Republic of Korea.
5Department of Children and Adolescent Psychiatry, Department of Psychiatry, Institute of Behavioral Sciencein Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
6Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
7Department of Psychiatry, Eunpyeong St. Mary’s Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
8Department of Psychiatry, Eunpyeong St .Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
9Department of Psychiatry, Wonkwang University Hospital, Iksan, Republic of Korea.
10Department of Psychiatry, School of Medicine, Wonkwang University, Iksan, Republic of Korea.
11Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
12Departmentof Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
13Department of Psychiatry, Hanyang University College of Medicine, Seoul, Republic of Korea.
14Institute of Mental Health, Hanyang University Industry-University Cooperation Foundation, Seoul, Republic of Korea.
15Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
16Yonsei Jaram Psychiatry Clinic, Seoul, Republic of Korea.
17Department of Psychiatry, Chungbuk National University Hospital, Cheongju, Republic of Korea.
18Department of Psychiatry, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
19Department of Neurosurgery,Yonsei University College of Medicine, Seoul, Republic of Korea.
20Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
Corresponding authors
Correspondence to Hwiyoung Kim, Bung-Nyun Kim or Keun-Ah Cheon.
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 screening tool data (MCHAT, SCQ-L, SRS). Stage 1 differentiated typically developing from high-risk/ASD children, integrating MCHAT/SCQ-L text with audio features (AUROC 0.942). Stage 2 distinguished high-risk from ASD children by combining task success data with SRS text (AUROC 0.914, Accuracy 0.852). The model’s predicted risk categories strongly agreed with gold-standard ADOS-2 assessments (79.59% accuracy) and correlated significantly (Pearson r = 0.830, p < 0.001). Leveraging mobile data and deep learning, this framework demonstrates potential for accurate, scalable early ASD screening and risk stratification, supporting timely interventions.
논문정보
- Research article
- 2025년 08월 (BRIC 등록일 2025-08-22)
- 국내 연구진
- 바이오·의료융합 > 다학제 융합/복합
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