The Applications of Large Language Models in Mental Health: Scoping Review.

Journal: Journal of medical Internet research
PMID: 40324177

Abstract

BACKGROUND: Mental health is emerging as an increasingly prevalent public issue globally. There is an urgent need in mental health for efficient detection methods, effective treatments, affordable privacy-focused health care solutions, and increased access to specialized psychiatrists. The emergence and rapid development of large language models (LLMs) have shown the potential to address these mental health demands. However, a comprehensive review summarizing the application areas, processes, and performance comparisons of LLMs in mental health has been lacking until now.

Authors

  • Yu Jin
    Department of Eye Function Laboratory, Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Jiayi Liu
    Beijing University of Chinese Medicine, China-Japan Friendship Clinical School of Medicine, Beijing, 100029, People's Republic of China.
  • Pan Li
    Department of Infections，Beijing Hospital of Traditional Chinese Medicine, Affiliated to the Capital Medical University, No. 23, Back Road of the Art Gallery, Dongcheng District, Beijing 100010, China.
  • Baosen Wang
    Department of Statistics, Faculty of Arts and Sciences, Beijing Normal University, Beijing, China.
  • Yangxinyu Yan
    School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, Guangdong, China.
  • Huilin Zhang
    School of Statistics, Beijing Normal University, Beijing, China.
  • Chenhao Ni
    School of Statistics, Beijing Normal University, Beijing, China.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Yi Li
    Wuhan Zoncare Bio-Medical Electronics Co., Ltd, Wuhan, China.
  • Yajun Bu
    The People's Hospital of Pingbian County, Honghe, Yunnan, China.
  • Yuanyuan Wang
    Department of Biotechnology, College of Life Science and Technology, Jinan University Guangzhou, 510632, China.

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