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

IF 4.9 2区心理学 Q1 BEHAVIORAL SCIENCES

Current Opinion in Behavioral Sciences Pub Date : 2024-09-25 DOI:10.1016/j.cobeha.2024.101452

Feng Liu , Qianqian Ju , Qijian Zheng , Yujia Peng

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引用次数: 0

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 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.

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人工智能在心理健康中的应用：人工智能技术在压力检测和复原力建设干预方面带来的创新

在过去的几十年里，人工智能（AI）的先进技术为心理健康领域带来了一场革命。在此，我们回顾了系统应用人工智能检测和干预压力相关心理健康问题的证据。我们首先通过分析压力和焦虑生物标志物的机器学习算法的先进计算技术，探讨了人工智能在压力检测和筛查方面的潜在应用。在准确检测心理健康问题的基础上，我们进一步回顾了基于人工智能的压力干预措施的证据，并提出了应用解码神经反馈作为个性化复原力建设干预措施的美好前景。综上所述，本综述评估了人工智能技术在现实世界应用中的有效性和主要挑战，并展示了人工智能对心理健康领域的变革性影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Opinion in Behavioral Sciences Neuroscience-Cognitive Neuroscience

CiteScore

10.90

自引率

2.00%

发文量

135

期刊介绍： Current Opinion in Behavioral Sciences is a systematic, integrative review journal that provides a unique and educational platform for updates on the expanding volume of information published in the field of behavioral sciences.