arXiv：cs.LG· Jun Chen, Qi Zhao, Yunliang Jiang, Shuqin Cao, Yunqiang Lin, Chenglong Jia, Qiang Guo, Guang Dai, Xiongtao Zhang, Mengmeng Wang, Xiaoyue Ma, Hui Wang, Wenguan Wang·· 13 小时前
ASDchat：多模态大语言模型实现循证自闭症谱系障碍筛查
A multimodal large language model for evidence-based autism spectrum disorder screening
AI 导读
ASDchat 是一款以视频、音频和对话为输入的多模态大语言模型，用于循证自闭症谱系障碍（ASD）筛查，采用决策分支输出筛查概率、证据分支生成对齐 ADOS-2 的可追溯时间戳行为证据的双分支架构。
正文
Authors:Jun Chen, Qi Zhao, Yunliang Jiang, Shuqin Cao, Yunqiang Lin, Chenglong Jia, Qiang Guo, Guang Dai, Xiongtao Zhang, Mengmeng Wang, Xiaoyue Ma, Hui Wang, Wenguan Wang
Abstract:The clinical management of autism spectrum disorder (ASD) faces a bottleneck in early screening, mainly because trained specialists are scarce and conventional assessment tools are subjective. Here, we introduce ASDchat, a multimodal large language model designed for evidence-based ASD screening, which takes video, audio, and dialogue as input. ASDchat adopts a dual-branch architecture, where the decision branch generates screening probabilities and the evidence branch generates traceable, timestamped behavioral evidence aligned with the Autism Diagnostic Observation Schedule (ADOS-2). The model was trained and evaluated on a dataset of 1,035 participants from 27 sites in China, which covered typically developing (TD) children, children with ASD, and children with other developmental disorders. For ASD versus TD, ASDchat reached an area under the receiver operating characteristic curve (AUC) of 0.953 $\pm$ 0.021. On 6 held-out sites that were not used for training, the mean AUC was 0.961. Furthermore, unsupervised clustering of the behavioral dimensions split the ASD cases into six subtypes with different phenotypic profiles, and ASDchat suggests an intervention for each subtype. ASDchat provides a feasible path for large-scale, evidence-based ASD screening in clinical practice.
| Subjects: | Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG) |
| Cite as: | arXiv:2609.16464 [cs.CV] |
| (or arXiv:2609.16464v2 [cs.CV] for this version) | |
| https://doi.org/10.48550/arXiv.2609.16464 arXiv-issued DOI via DataCite |
Submission history
From: Jun Chen [view email]
[v1]
Tue, 15 Sep 2026 00:34:21 UTC (2,830 KB)
[v2]
Fri, 9 Oct 2026 11:47:16 UTC (2,915 KB)
来源：arXiv：cs.LG · arxiv.org