Emergence of Artificial Intelligence Art Therapies (AIATs) in Mental Health Care: A Systematic Review.

Journal: International journal of mental health nursing
PMID: 39020473

Abstract

The application of artificial intelligence art therapies (AIATs) in mental health care represents an innovative merger between digital technology and the therapeutic potential of creative arts. This systematic review aimed to assess the effectiveness and ethical considerations of AIATs, incorporating robots, AI painting and AI Chatbots to augment traditional art therapies. Aligning with the Preferred Reporting Items for systematic reviews (PRISMA) guidelines, we meticulously searched PubMed, Cochrane Library, Web of Science and CNKI, resulting in 15 selected articles for detailed analysis. To ensure methodological quality, we applied the Joanna Briggs Institute (JBI) criteria for quality assessment and extracted data using the PICO(S) format, specifically targeting randomised controlled trials (RCTs). Our findings suggest that AIATs can profoundly enhance the therapeutic experience by providing new creative outlets and reinforcing existing methods, despite possible drawbacks and ethical challenges. This examination underscores AIATs' potential to enrich mental health therapies, emphasising the critical importance of ethical considerations and the responsible application of AI as the field evolves. With a focus on expanding treatment efficacy and patient expressiveness, the promise of AIATs in mental health care necessitates a careful balance between innovation and ethical responsibility. Trial Registration: PROSPERO: CRD42024504472.

Authors

  • Xuexing Luo
    Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau SAR, China.
  • Aijia Zhang
    Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau.
  • Yu Li
    Department of Public Health, Shihezi University School of Medicine, 832000, China.
  • Zheyu Zhang
    Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau SAR, China.
  • Fangtian Ying
    Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau.
  • Runqing Lin
    Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau.
  • Qianxu Yang
    Department of Social and Preventive Medicine, Faculty of Medicine, Centre for Epidemiology and Evidence-Based Practice, University of Malaya, Kuala Lumpur, Malaysia.
  • Jue Wang
    State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macau SAR, China.
  • Guanghui Huang
    Faculty of Humanities and Arts, Macau University of Science and Technology, Taipa, Macau SAR, China.

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