Summary of A Generic Review Of Integrating Artificial Intelligence in Cognitive Behavioral Therapy, by Meng Jiang et al.
A Generic Review of Integrating Artificial Intelligence in Cognitive Behavioral Therapy
by Meng Jiang, Qing Zhao, Jianqiang Li, Fan Wang, Tianyu He, Xinyan Cheng, Bing Xiang Yang, Grace W.K. Ho, Guanghui Fu
First submitted to arxiv on: 28 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the integration of artificial intelligence (AI) into Cognitive Behavioral Therapy (CBT), a well-established intervention for mitigating psychological issues. The authors review the literature on AI-enhanced CBT, introducing pre-training models (PTMs) and large language models (LLMs) as potential tools to support, augment, optimize, and automate CBT delivery. They discuss the integration of AI into CBT across various stages: pre-treatment, therapeutic process, and post-treatment. The authors also summarize relevant datasets for CBT-related tasks and highlight benefits and current limitations of applying AI to CBT. Finally, they suggest key areas for future research, emphasizing the need for further exploration and validation of long-term efficacy and clinical utility. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI can help make Cognitive Behavioral Therapy (CBT) more accessible and effective. CBT is a type of therapy that helps people change negative thought patterns and behaviors. But it can be hard to get access to CBT because of things like location, cost, and time. AI can help by making CBT easier to deliver and understand. The paper talks about how AI can be used at different stages of CBT, from before the therapy starts to after it ends. It also looks at some examples of datasets that can be used for CBT-related tasks. Overall, using AI in CBT could make mental health care more efficient, personalized, and accessible. |
