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Research progress on the identification and intervention of non-suicidal self-injury behavior among adolescents using artificial intelligence
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Jingfeng YIN, Yanhao ZHAO, Xinyi LIU, Haiou ZOU*
Chinese Journal of School Health | 2025, 46(12) : 1820 - 1824
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Chinese Journal of School Health | 2025, 46(12): 1820-1824
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Research progress on the identification and intervention of non-suicidal self-injury behavior among adolescents using artificial intelligence
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Jingfeng YIN, Yanhao ZHAO, Xinyi LIU, Haiou ZOU*
Affiliations
  • School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100144, China
Published: 2025-12-25 doi: 10.16835/j.cnki.1000-9817.2025354
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The global prevalence of non-suicidal self-harm (NSSI) among adolescents is becoming increasingly severe. Traditional mental health services are struggling to meet the growing social demand due to limited resource allocation and service accessibility. The rapid development of artificial intelligence (AI) technology provides a new technological path. The article systematically reviews the research progress of AI technology in adolescent NSSI, demonstrating key technologies such as machine learning, natural language processing, and deep learning in predicting NSSI risk prediction, emotion recognition and online intervention for adolescents. However, challenges remain, including algorithm bias, data privacy protection, model interpretability and ethical decision-making. Future research should focus on multi-disciplinary collaborative cooperation based on artificial intelligence to build a safe, effective and sustainable digital psychological intervention system, so as to provide innovative strategies and technical support for the early warning and intervention of NSSI behavior in adolescents.

Artificial intelligence  /  Self-injurious behavior  /  Intervention  /  Adolescent
尹京凤, 赵燕皓, 刘欣怡, 邹海欧. 人工智能在青少年非自杀性自伤行为识别与干预中的研究进展. 中国学校卫生, 2025 , 46 (12) : 1820 -1824 . DOI: 10.16835/j.cnki.1000-9817.2025354
Jingfeng YIN, Yanhao ZHAO, Xinyi LIU, Haiou ZOU. Research progress on the identification and intervention of non-suicidal self-injury behavior among adolescents using artificial intelligence[J]. Chinese Journal of School Health, 2025 , 46 (12) : 1820 -1824 . DOI: 10.16835/j.cnki.1000-9817.2025354
Year 2025 volume 46 Issue 12
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doi: 10.16835/j.cnki.1000-9817.2025354
  • Receive Date:2025-08-11
  • Online Date:2026-11-06
  • Published:2025-12-25
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  • Received:2025-08-11
  • Revised:2025-10-11
Affiliations
    School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100144, China
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表12种不同金属材料的力学参数
科
Family
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Number of
genus
种数
Number of
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Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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