Abstract
Mental health problems have brought a serious impact on people’s quality of life and health. With the development of technology, the emerging technologies such as artificial intelligence (AI) (combined with Big Data) has the potential to become new means of intervening in mental illness. This study analyzes the abstracts of the relevant literature involving the applications of AI in the field of mental health through dynamic topic modelling. Nine main research topics are extracted and analyzed. Then we identify current research hotspots and possible future directions by analyzing the evolutionary trends of these topics over time. In the future, the representative literature will be searched and reviewed based on the extracted topics to comprehensively and deeply explore the applications status and potential of these technologies in the field of mental health.
Recommended Citation
Yang, Tao; Luo, Yunfang; Cui, Xiling; and Liu, Qiang, "When machine meets mind: A two-stage literature review on AI applications in mental health research" (2024). ICEB 2024 Proceedings (Zhuhai, China). 1.
https://aisel.aisnet.org/iceb2024/1