数据与计算发展前沿 ›› 2024, Vol. 6 ›› Issue (3): 15-27.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.03.002

doi: 10.11871/jfdc.issn.2096-742X.2024.03.002

• 专刊：智慧医疗前沿与进展（下） • 上一篇    下一篇

孤独症人工智能诊疗进展及前沿

王志永1(),刘晶晶2,王新明1,陈博文1,聂伟1,张瀚林1,刘洪海1,*()   

  1. 1.哈尔滨工业大学（深圳），机器人与系统国家重点实验室，广东 深圳 518071
    2.上海交通大学，机械系统与振动国家重点实验室，上海 200240
  • 收稿日期:2023-11-02 出版日期:2024-06-20 发布日期:2024-06-21
  • 通讯作者: *刘洪海（E-mail: honghai.liu@icloud.com）
  • 作者简介:王志永，哈尔滨工业大学（深圳），博士，硕士生导师，研究方向为从事人机交互技术、脑功能响应、多模态感知技术及其在医疗应用领域的应用。
    本文贡献度：50%，负责论文初稿撰写。
    WANG Zhiyong, Ph.D., is currently a master’s supervisor at Harbin Institute of Technology Shenzhen, Shenzhen, China. His research interests include human-computer interaction, brain functional response, multimodal perception, and their practical applications in medical rehabilitation.
    In this paper, he is responsible for the paper drafting and his contribution accounts for 50%.
    E-mail: wangzhiyong@hit.edu.cn|刘洪海，哈尔滨工业大学（深圳），博士，教授，博士生导师，研究方向为从事多模态人机交互感知与理解、机器学习、机器视觉、医疗机器辅助智能系统理论及应用等方面的研究。
    本文贡献度：20%，负责制定论文框架并修改论文。
    LIU Honghai is a Ph.D., professor, and doctoral supervisor at Harbin Institute of Technology Shenzhen, Shenzhen, China. His research interests include biomechatronics, pattern recognition, intelligent video analytics, intelligent robotics, and their practical applications with an emphasis on approaches that could make contribution to the intelligent connection of perception to action using contextual information.
    In this paper, he is responsible for drawing up the paper framework and revising the paper while his contribution accounts for 20%.
    E-mail: honghai.liu@icloud.com
  • 基金资助:
    国家自然科学基金(61733011);国家自然科学基金(62261160652);国家自然科学基金(52275013)

Advancements and Frontiers in Autism Diagnosis and Treatment Based on Artificial Intelligence

WANG Zhiyong1(),LIU Jingjing2,WANG Xinming1,CHEN Bowen1,NIE Wei1,ZHANG Hanlin1,LIU Honghai1,*()   

  1. 1. State Key Laboratory of Robotics and Systems, Harbin Institute of Technology Shenzhen, Shenzhen, Guangdong 518071, China
    2. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2023-11-02 Online:2024-06-20 Published:2024-06-21

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摘要：

【目的】近年来人工智能和传感技术的快速发展为孤独症的诊疗提供了新的手段和方向。本文围绕孤独症人工智能诊疗技术进行了文献综述，为未来工作提供参考。【文献范围】本文采用关键字检索的方法调研了来自主流会议和期刊的相关论文，并进行了总结归纳。【方法】从临床人工诊疗发展、基于人工智能的诊断研究、基于人工智能的干预研究三个方面分别介绍基于不同方法和传感技术的研究进展。【结果】孤独症人工智能诊疗有助于克服临床上的局限性，如主观性强、耗时长、资源紧缺等。【局限】相关文献多为近年来的工作，对更早期的工作可能存在遗漏。【结论】通过分析最新的人工智能方法对孤独症诊疗的影响，梳理孤独症人工智能诊疗的挑战和展望，有助于推动孤独症人工智能辅助诊疗理论和技术的发展。

关键词: 孤独症, 人工智能, 早期诊疗, 多模态感知, 人机交互

Abstract:

[Objective] In recent years the rapid advancements in artificial intelligence and sensing technologies have introduced new tools and directions for the diagnosis and treatment of autism. This paper provides a literature review of artificial intelligence-based diagnostic and intervention techniques for autism, providing guidance for future work. [Coverage] We retrieve relevant papers by keyword search from mainstream conferences and journals and summarize them. [Methods] This paper encompasses developments in clinical manual diagnosis, AI-driven diagnostic, and AI-based intervention, each utilizing different methods and sensing technologies. [Results] Artificial intelligence-based diagnostic and intervention techniques for autism can help to overcome clinical limitations, such as subjectivity, long time consumption, and resource scarcity. [Limitations] The reviewed literature consists of mostly recent works, earlier works may be missing. [Conclusions] By analyzing the influence of the latest artificial intelligence tools on the diagnosis and treatment of autism, and elucidating the challenges and prospects of artificial intelligence-assisted autism diagnosis and treatment, the theoretic and technological work for artificial intelligence-assisted autism diagnosis and treatment is promoted.

Key words: autism, artificial intelligence, early diagnosis and treatment, multimodal perception, human-computer interaction