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Applications of Artificial Intelligence in Psychiatric Nursing: A Scope Review

Huanhuan Li, Guibing Zhu, Yan Zhong, Zhuoqiu Zhang, Shuiying Li, Jialin Liu

Year
2024
Citations
9
Access
Open access

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.

Keywords

Scope (computer science)DementiaHealth careMental healthSchizophrenia (object-oriented programming)PsychiatryPsychologyMedicineArtificial intelligenceNursing

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