English(EN) A multimodal large language model for evidence-based autism spectrum disorder screening

新型大语言模型ASDchat提供循证自闭症筛查及亚型分析

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-16 04:00

研究人员开发了ASDchat，这是一种用于自闭症谱系障碍（ASD）早期筛查的多模态大语言模型。该模型处理视频、音频和对话输入，以提供筛查概率和与ADOS-2等临床标准一致的可追溯行为证据。ASDchat在中国对一千多名参与者进行了训练，在区分ASD与典型发育方面表现出高精度，AUC达到0.953。该模型还识别出六种具有独特表型特征的ASD亚型，为每种亚型提供了定制干预的可能性。 AI

影响该模型可以实现大规模、客观的ASD早期筛查，有望改善诊断和干预时机。

排序理由该集群描述了一篇详细介绍用于特定医疗应用的新AI模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Jun Chen, Qi Zhao, Yunliang Jiang, Shuqin Cao, Yunqiang Lin, Chenglong Jia, Qiang Guo, Guang Dai, Xiongtao Zhang, Mengmeng Wang, Xiaoyue Ma · 2026-09-16 04:00

用于循证自闭症谱系障碍筛查的多模态大语言模型

arXiv:2609.16464v1 Announce Type: cross 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 multimo…

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报道来源 [1]

用于循证自闭症谱系障碍筛查的多模态大语言模型

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