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Noble, J. M., Zamani, A., Gharaat, M., Merrick, D., Maeda, N., Lambe Foster, A. et al. (2022). Developing, Implementing, and Evaluating an Artificial Intelligence-Guided Mental Health Resource Navigation Chatbot for Health Care Workers and Their Families during and Following the COVID-19 Pandemic: Protocol for a Cross-Sectional Study. JMIR Research Protocols, 11, e33717.
https://doi.org/10.2196/33717

has been cited by the following article:

• TITLE: Chatbots in Psychology: Revolutionizing Clinical Support and Mental Health Care

  AUTHORS: Rocco de Filippis, Abdullah Al Foysal

  KEYWORDS: Chatbots, Psychology, Mental Health Care, Clinical Support, Machine Learning, Personalized Support, Ethical Considerations

  JOURNAL NAME: Voice of the Publisher, Vol.10 No.3, September 26, 2024

  ABSTRACT: The integration of chatbots into mental health care is ushering in a transformative era, offering scalable and accessible support to individuals worldwide. This article explores the revolutionary potential of chatbots within clinical psychology, highlighting their role in screening, early intervention, and the personalization of treatment plans. By leveraging advanced natural language processing and machine learning algorithms, chatbots are capable of delivering immediate, empathetic, and user-centric care, complementing traditional therapeutic approaches. However, this integration also necessitates a careful consideration of ethical standards, particularly in safeguarding user data privacy and ensuring that escalation protocols are in place for crisis situations. The synergy between chatbot technology and mental health professionals is crucial for optimizing the benefits of these digital tools. This article advocates for continued research, ethical oversight, and interdisciplinary collaboration to refine and expand the use of chatbots, ensuring they contribute effectively to the global mental health landscape.