Reviewdiamond2024

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

Mirza Jahanzeb Beg · Vishvak Chanthar K. M. M. · Manish Kumar Verma

82 citations0/0 files storedIndian Journal of Psychological Medicine

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Digital Mental Health Interventions Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes Artificial Intelligence in Healthcare and Education

Abstract

Purpose of the Review: 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. 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. Collection and Analysis of Data: 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. 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.

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References

2017Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial 2019Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape 2012The effectiveness of SPARX, a computerised self help intervention for adolescents seeking help for depression: randomised controlled non-inferiority trial 2018Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial 2017Task‐Sharing Approaches to Improve Mental Health Care in Rural and Other Low‐Resource Settings: A Systematic Review 2023An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews 2011A randomized controlled trial of online versus clinic-based CBT for adolescent anxiety.2016Smartphone-Based Conversational Agents and Responses to Questions About Mental Health, Interpersonal Violence, and Physical Health

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2024Exploring the Potential and Challenges of Digital and AI-Driven Psychotherapy for ADHD, OCD, Schizophrenia, and Substance Use Disorders: A Comprehensive Narrative Review 2024Responsible AI Integration in Mental Health Research: Issues, Guidelines, and Best Practices 2025Artificial Intelligence-based Psychotherapy: A Qualitative Exploration of Usability, Personalization, and the Perception of Therapeutic Progress

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