Artificial Intelligence for Psychotherapy: A Review of the Current State and Future Directions

电流(流体) 心理治疗师 国家(计算机科学) 心理学 认知科学 计算机科学 工程类 电气工程 算法
作者
Mirza Jahanzeb Beg,Mohit Verma,Vishvak Chanthar K. M. M.,Manish Verma
出处
期刊:Indian Journal of Psychological Medicine [SAGE Publishing]
被引量:8
标识
DOI:10.1177/02537176241260819
摘要

Background: Psychotherapy is crucial for addressing mental health issues but is often limited by accessibility and quality. Artificial intelligence (AI) offers innovative solutions, such as automated systems for increased availability and personalized treatments to improve psychotherapy. Nonetheless, ethical concerns about AI integration in mental health care remain. Aim: This narrative review explores the literature on AI applications in psychotherapy, focusing on their mechanisms, effectiveness, and ethical implications, particularly for depressive and anxiety disorders. Methods: A review was conducted, spanning studies from January 2009 to December 2023, focusing on empirical evidence of AI’s impact on psychotherapy. Following PRISMA guidelines, the authors independently screened and selected relevant articles. The analysis of 28 studies provided a comprehensive understanding of AI’s role in the field. Results: The results suggest that AI can enhance psychotherapy interventions for people with anxiety and depression, especially chatbots and internet-based cognitive-behavioral therapy. However, to achieve optimal outcomes, the ethical integration of AI necessitates resolving concerns about privacy, trust, and interaction between humans and AI. Conclusion: The study emphasizes the potential of AI-powered cognitive-behavioral therapy and conversational chatbots to address symptoms of anxiety and depression effectively. The article highlights the importance of cautiously integrating AI into mental health services, considering privacy, trust, and the relationship between humans and AI. This integration should prioritize patient well-being and assist mental health professionals while also considering ethical considerations and the prospective benefits of AI.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
光亮的元霜完成签到,获得积分10
1秒前
xiaogua发布了新的文献求助10
1秒前
大模型应助香菇蛋采纳,获得10
1秒前
1秒前
1秒前
1秒前
灵巧尔蓝完成签到,获得积分20
1秒前
Nature完成签到,获得积分10
2秒前
行走的荷尔蒙完成签到,获得积分0
2秒前
开心千青完成签到,获得积分10
2秒前
2秒前
哄哄完成签到,获得积分10
3秒前
刘鹏程完成签到,获得积分10
3秒前
OK应助孙朱珠采纳,获得50
4秒前
4秒前
今后应助羽安采纳,获得10
4秒前
机智如我发布了新的文献求助10
4秒前
蛀牙牙完成签到,获得积分10
4秒前
bcsunny2022完成签到,获得积分10
5秒前
弧光完成签到 ,获得积分0
5秒前
5秒前
LLL发布了新的文献求助10
6秒前
麻麻发布了新的文献求助10
6秒前
外向梦山完成签到,获得积分20
7秒前
cclyfan完成签到,获得积分10
8秒前
雨潇潇完成签到,获得积分10
8秒前
友好的小狗应助JERRY采纳,获得10
8秒前
新晋老板完成签到,获得积分10
8秒前
一谩完成签到,获得积分10
8秒前
清爽山河完成签到,获得积分10
8秒前
小橘灯完成签到,获得积分10
9秒前
wlincarol完成签到,获得积分10
10秒前
花花应助研友_8Y05PZ采纳,获得10
10秒前
NANO完成签到,获得积分10
10秒前
10秒前
11秒前
11秒前
清爽山河发布了新的文献求助10
11秒前
外向梦山发布了新的文献求助10
12秒前
CSN完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
Rocket Propulsion Elements, 10th Edition 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7305694
求助须知:如何正确求助?哪些是违规求助? 8923793
关于积分的说明 18905337
捐赠科研通 6968710
什么是DOI,文献DOI怎么找? 3212279
关于科研通互助平台的介绍 2381011
邀请新用户注册赠送积分活动 2189709