AI in Mental Healthcare

This project explores the integration of Artificial Intelligence into Mental Healthcare, aiming to enhance the accessibility, efficiency, and effectiveness of psychological support services. By leveraging advanced AI technologies, the initiative seeks to develop intelligent systems capable of identifying and addressing a wide range of mental health concerns, from immediate crisis situations to long-term care needs.

Key focuses include:

• Early detection of mental health stressors and potential crisis situations
• Providing timely interventions and support through AI-driven conversational agents
• Offering continuous, personalized care for individuals dealing with various psychological challenges
• Enhancing the capacity of mental health professionals by providing AI-assisted tools and insights

The project aims to create AI solutions that can serve as a complementary resource to traditional mental healthcare, potentially improving outcomes and expanding the reach of mental health support to underserved populations.

Director

• Jinho Choi - Associate Professor at Emory University

Related Projects

• Trauma Carebot (09/2022 ~ Present)

Media

• Can — and Should — Chatbots Help Students Navigate Mental Health Crises?, Diverse Issues in Higher Education (2021-11-30).

Publications

1. Automating PTSD Diagnostics in Clinical Interviews: Leveraging Large Language Models for Trauma Assessments. Tu, S.; Powers, A.; Merrill, N.; Fani, N.; Carter, S.; Doogan, S.; Choi, J. D. Proceedings of the Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2024.
2. FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning. Shin, J.; Yoon, H.; Lee, S.; Park, S.; Liu, Y.; Choi, J. D.; Lee, S. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.