email : 14a53d32aced1f56a73f02dc4be6190e0d1670ed7bade13862ce4c3ab6342474fc4b36fd2fcc82977c740f091114366f83828adc70892be11b695ee72dafd2e1fae66cae65950c96e543a6ec4590f1361f5229778a96ffcf1928500e7b961e16133bc9b262cb36e50388a34f1015cecc690767a17bdcc2980fdfe5e0233930c7
Journal:Current Opinion in Behavioral Sciences
Abstract: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
Note:[6] Feng Liu*, Qianqian Ju, Qijian Zheng and Yujia Peng*.AI in Mental Health: Innovations brought by AI Techniques in Stress Detection and Interventions of Building Resilience[J].Current Opinion in Behavioral Sciences, Volume 60, 2024, 101452, ISSN 2352-1546, https://doi.org/10.1016/j.cobeha.2024.101452.
Discipline:医学
First-Level Discipline:Biomedical Engineering(Neuroscience and Psychology )
Document Type:J
Volume:60
Page Number:101452
ISSN No.:2352-1546
Translation or Not:no
Date of Publication:2024-12-01
Included Journals:SSCI
Indexed by:[J]
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