Adolescence is a critical period of physical and mental development. It’s also a high-risk period for the development of mental disorders. In recent years, the global mental health problems of adolescents are growing viciously. Adolescent mental health is closely related to social development. Artificial intelligence (AI) has great potential to solve many problems that cannot be properly solved by classical science. The field of mental health is one of the most important areas where the potential of AI can be exploited, such as recognition, diagnosis,treatment, nursing and rehabilitation of mental health problems. In addition, artificial intelligence can also be used to establish risk warning models to achieve the goal of personalized long-term care for mental health problems, and there are clear societal benefits to deal with adolescent psychiatric problems with the technical advantages of AI. Meanwhile, the research related to artificial intelligence and adolescent mental health is in its infancy, and more researches are still needed to discover or determine the role of AI.
Guest Editors
Prof. Bingxiang Yang
School of Nursing, Wuhan University, Wuhan, China
Prof. Jieyao Shi
Suzhou Vocational University, Suzhou, China
Prof. Yufang Yang
School of Nurshing, Capital Medical University, Beijing, China
Prof. Zhisheng Huang
Department of Computer Science, Faculty of Sciences, Free University (VU), Amsterdam, The Netherlands
The potential topics of this special issue include, but are not limited to:
Adolescentmental problems risk prediction in relation to AI
Adolescent mental problems diagnosis, treatment, nursing, rehabilitation in relation to AI
Ethical issues of adolescent mental healthin relation to AI
Mentalhealth data governance in relation to AI, including data privacy and data security
Important Dates
Submission deadline of papers: 31 December 2023
Notification of review results: 28 February 2024
Submission ofrevised papers: 31 March 2024
Notification of finalreview results: 30 April 2024
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Introduction of Guest Editors
Prof. Bingxiang Yang
Bing Xiang Yang RN, Ph.D., FAAN,Young Top-notch Talent Cultivation Program of Hubei Province
She is currently a Full Associate Professor with the School of Nursing, and a Researcher with the Department of Psychiatry, Renmin Hospital, Wuhan University, Wuhan, China. She got three national funding to support the mental health promotion researches and published at least ten international papers, some papers were published at the top medicine journals, such as The Lancet Global Health and American Journal of Psychiatry. She also worked as a Counsellor and a Professional Volunteer for the volunteer group Tree Hole Rescue Team, which utilizing AI to assist suicide monitoring and intervention among social network users. Her research interest is interdisciplinary study of mental health and artificial intelligence, especially focused on AI-based suicide monitoring, and intervention.
Prof. Jieyao Shi
Jieyao Shi, Doctor of Medicine, Professor, State Psychological consultant Grade II. Director of the Training Management Committee of the "Tree Hole Operation Rescue Team"; Deputy Secretary General and of Talent Training &Career Development Branch of Jiangsu Health Management Institute; Distinguished Expert of Health Education; Member of China Association of Mental Health. She has been engaged in physical and mental health education for more than 20 years and psychological consulting for over 10 years. She has presided over and participated in more than 10 scientific research projects at all levels and has published over 30 academic papers in domestic and foreign journals.
Prof. Zhisheng Huang
Professor Zhisheng Huang is a tenured senior researcher at Computer Science Department of VU University Amsterdam, the Netherlands. He is also a full professor at School of Computer Science and Engineering, Wuhan University of Science and Technology, China. His research interests include Semantic Web technology, knowledge graphs, and ontology engineering, Artificial Intelligence for medicine, and medical informatics. Prof. Huang has published about 300 papers in journals/conferences/workshops, served as a member of programme/organising committee for over 200 international conferences/workshops. He is the editor-in-chief of Journal of Artificial Intelligence for Medical Sciences.