Abstract：
Rapid advances in artificial intelligence (AI) have reshaped healthcare, including psychiatric nursing, to address the limitations of traditional approaches and meet escalating mental health challenges. A scoping review analyzed 48 articles examining the application of AI in psychiatric nursing across different technologies and topics, noting trends in publications and countries involved. The articles covered different aspects of mental health using AI technologies such as machine learning and robotics, and primarily explored AI applications in mental health, specifically dementia, autism and schizophrenia. These studies highlighted the role of AI in personalized care plans, symptom monitoring and risk assessment. AI is promising, but faces challenges such as data bias and ethical concerns. Future research needs to focus on long-term studies, diverse populations, patient interaction and personalized treatments for practical integration into psychiatric nursing.
摘要：
人工智能(AI)的快速发展重塑了医疗保健，包括精神病护理,解决传统方法的局限性并应对不断升级的心理健康挑战。范围审查分析了48篇文章，研究了AI在不同技术和主题的精神病护理中的应用，注意到出版物和所涉国家的趋势。这些文章涵盖了使用机器学习和机器人等AI技术的心理健康的不同方面，并主要探索了人工智能在心理健康中的应用，特别是痴呆症，自闭症和精神分裂症。这些研究强调了人工智能在个性化护理计划中的作用，症状监测和风险评估。AI很有希望，但面临着数据偏见和道德问题等挑战。未来的研究需要关注长期的研究，不同的人口，患者互动和个性化治疗，以实际融入精神科护理。
