Artificial intelligence in mental health: innovations brought by artificial intelligence techniques in stress detection and interventions of building resilience

被引:4
|
作者
Liu, Feng [1 ]
Ju, Qianqian [2 ,3 ]
Zheng, Qijian [1 ]
Peng, Yujia [2 ,3 ,4 ,5 ]
机构
[1] East China Normal Univ, Sch Comp Sci & Technol, 3663 Zhongshan North Rd, Shanghai 200062, Peoples R China
[2] Peking Univ, Sch Psychol & Cognit Sci, Beijing 100871, Peoples R China
[3] Peking Univ, Beijing Key Lab Behav & Mental Hlth, Beijing 100871, Peoples R China
[4] Peking Univ, Inst Artificial Intelligence, Beijing 100871, Peoples R China
[5] Beijing Inst Gen Artificial Intelligence, State Key Lab Gen Artificial Intelligence, Beijing 100080, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
NEUROFEEDBACK; EMOTION;
D O I
10.1016/j.cobeha.2024.101452
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
The last few decades have witnessed a revolution in the field of mental health, brought about by state-of-the-art techniques of artificial intelligence (AI). Here, we review the evidence for the systematic application of AI for the detection and intervention of stress-related mental health problems. We first explore the potential application of AI in stress detection and screening through advanced computational techniques of machine learning algorithms that analyze biomarkers of stress and anxiety. Building on the accurate detection of mental health problems, we further review the evidence for AI-based stress interventions and propose the promising prospect of applying decoded neurofeedback as a personalized resilience-building intervention. Together, the current review assesses the effectiveness and major challenges of AI technologies in real-world applications and demonstrates the transforming impact of AI on the field of mental health.
引用
收藏
页数:7
相关论文
共 50 条
  • [32] Health and artificial intelligence
    Netter, Patrick
    BULLETIN DE L ACADEMIE NATIONALE DE MEDECINE, 2018, 202 (07): : 1706 - 1708
  • [33] Artificial intelligence in hospitality: A transactional stress perspective on the mental health of hospitality workers
    Yan, Jiaqi
    Xiao, Qijie
    Zhang, Stephen X.
    Guchait, Priyanko
    INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT, 2025, 126
  • [34] BUILDING ARTIFICIAL-INTELLIGENCE
    SHELTON, B
    DATAMATION, 1987, 33 (16): : 126 - 126
  • [35] Artificial intelligence for building learning Health Care Organizations
    Stefanelli, M
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 1999, 1620 : 13 - 29
  • [36] Ethical considerations in the use of artificial intelligence in mental health
    Uma Warrier
    Aparna Warrier
    Komal Khandelwal
    The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 59
  • [37] Preprocessing and Artificial Intelligence for Increasing Explainability in Mental Health
    Angerri, X.
    Gibert, Karina
    INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2023, 32 (02)
  • [38] ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH SERVICES: PRESENT AND FUTURE
    Patel, Krishna
    Nagecha, Vijay
    Desai, Manan
    INDIAN JOURNAL OF PSYCHIATRY, 2019, 61 (09) : S425 - S425
  • [39] Can Artificial Intelligence Chatbots Improve Mental Health?
    Gallegos, Cara
    Kausler, Ryoko
    Alderden, Jenny
    Davis, Megan
    Wang, Liya
    CIN-COMPUTERS INFORMATICS NURSING, 2024, 42 (10) : 731 - 736
  • [40] Artificial Intelligence in Mental Health Research: Prospects and Pitfalls
    Cleary, Michelle
    Kornhaber, Rachel
    Le Lagadec, Danielle
    Stanton, Robert
    Hungerford, Catherine
    ISSUES IN MENTAL HEALTH NURSING, 2024, 45 (10) : 1123 - 1127