Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: Systematic Literature Review
<|reference_start|>Application of Artificial Intelligence in Schizophrenia Rehabilitation Management: Systematic Literature Review: This review aims to systematically assess the current status and prospects of artificial intelligence (AI) in the rehabilitation management of patients with schizophrenia and their impact on the rehabilitation process. We selected 70 studies from 2012 to the present, focusing on application, technology categories, products, and data types of machine learning, deep learning, reinforcement learning, and other technologies in mental health interventions and management. The results indicate that AI can be widely used in symptom monitoring, relapse risk prediction, and rehabilitation treatment by analyzing ecological momentary assessment, behavioral, and speech data. This review further explores the potential challenges and future directions of emerging products, technologies, and analytical methods based on AI, such as social media analysis, serious games, and large language models in rehabilitation. In summary, this study systematically reviews the application status of AI in schizophrenia rehabilitation management and provides valuable insights and recommendations for future research paths.<|reference_end|>
@article{yang2024application,
    title={Application of Artificial Intelligence in Schizophrenia Rehabilitation
  Management: Systematic Literature Review},
    author={Hongyi Yang, Fangyuan Chang, Dian Zhu, Muroi Fumie, Zhao Liu},
    journal={arXiv preprint arXiv:2405.10883},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.10883},
    primaryClass={cs.AI}
}