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Monitoring, prevention, and early detection

Computational linguistics to support mental health monitoring in naturalistic settings.

Our lab, together with Prof. Maria Liakata’s group, co-chaired CLPsych (the International Workshop on Computational Linguistics and Clinical Psychology) in 2022, and we remain active members of its organizing committee. Our commitment is to leverage AI for mental health, using naturalistic, real-world data for continuous monitoring, to advance early detection and ultimately prevention of mental health difficulties. 

For example, we demonstrated the usefulness of advanced LLMs, particularly when integrated with domain-specific psychological theory, in detecting suicidal risk among social media users (Clpsych 2022; Clpsych 2024) and creating clinically meaningful formulations of individuals’ mental states from their consented social media timelines (Clpsych 2025). In a different work, using UK Biobank data, we demonstrated AI-based models to predict depression risk in middle-aged adults without prior psychiatric history (Bilu et al., 2023).
 

References:

Bilu, Y., Kalkstein, N., Gilboa-Schechtman, E., Akiva, P., Zalsman, G., Itzhaky, L., & Atzil-Slonim, D. (2023). Predicting future onset of depression among middle-aged adults with no psychiatric history. BJPsych open, 9(3), e85.‏

Chim, J., Tsakalidis, A., Gkoumas, D., Atzil-Slonim, D., Ophir, Y., Zirikly, A., ... & Liakata, M. (2024, March). Overview of the clpsych 2024 shared task: Leveraging large language models to identify evidence of suicidality risk in online posts. In Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024) (pp. 177-190).‏

Tsakalidis, A., Chim, J., Bilal, I. M., Zirikly, A., Atzil-Slonim, D., Nanni, F., ... & Liakata, M. (2022, July). Overview of the CLPsych 2022 shared task: Capturing moments of change in longitudinal user posts. In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology (pp. 184-198).‏

Tseriotou, T., Chim, J., Klein, A., Shamir, A., Dvir, G., Ali, I., ... & Liakata, M. (2025, May). Overview of the clpsych 2025 shared task: Capturing mental health dynamics from social media timelines. In Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2025) (pp. 193-217).‏