This paper is in the following e-collection/theme issue:

Methods and New Tools in Mental Health Research (463) Artificial Intelligence (1421) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565) Machine Learning (1501) Natural Language Processing (706) Chatbots and Conversational Agents (543)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59479, first published .
The Opportunities and Risks of Large Language Models in Mental Health

The Opportunities and Risks of Large Language Models in Mental Health

The Opportunities and Risks of Large Language Models in Mental Health

Authors of this article:

Hannah R Lawrence1 Author Orcid Image ;   Renee A Schneider2 Author Orcid Image ;   Susan B Rubin1 Author Orcid Image ;   Maja J Matarić2 Author Orcid Image ;   Daniel J McDuff2 Author Orcid Image ;   Megan Jones Bell2 Author Orcid Image
Article Authors Cited by (3) Tweetations (13) Metrics

Journals

  1. Mansoor M, Ansari K. Early Detection of Mental Health Crises through Artifical-Intelligence-Powered Social Media Analysis: A Prospective Observational Study. Journal of Personalized Medicine 2024;14(9):958 View
  2. Ma Y, Zeng Y, Liu T, Sun R, Xiao M, Wang J. Integrating large language models in mental health practice: a qualitative descriptive study based on expert interviews. Frontiers in Public Health 2024;12 View
  3. Ferrara E. Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges. Sensors 2024;24(15):5045 View