Weber, S., Deperrois, N., Heun, R., Frühschütz, L., Monn, A., Homan, S., Häfliger, A., Seifritz, E., Kowatsch, T., Jäger, L., Schultebraucks, K., Gershov, S., Mocellin, J., Kleim, B., & Olbrich, S. (2025). Using a fine-tuned large language model for symptom-based depression evaluation Npj Digital Medicine, 8(1), 598. https://doi.org/10.1038/s41746-025-01982-8
Naef, R., Jeitziner, M.-M., Riguzzi, M., von Felten, S., Verweij, L., Rufer, M., Safford, J., Sutter, S., Bergmann-Kipfer, B., Betschart, U., Boltshauser, S., Brülisauer, N., Brunner, C., Buehler, P. K., Burkhalter, H., Dullenkopf, A., Heise, A., Hertler, B., Hoffmann, J. E., … et al. (2025). Nurse-Led Family Support Intervention for Families of Critically Ill Patients: The FICUS Cluster Randomized Clinical Trial JAMA Internal Medicine, 185, 1138–1149. https://doi.org/10.1001/jamainternmed.2025.3406
Tumescheit, C., Sou, D., Nissen, M., Kowatsch, T., & Hastings, J. (2025). Large Language Models Reveal Menstruation Experiences and Needs on Social Media In M. S. Househ, Z. U. Abideen Tariq, M. Al-Zubaidi, & E. Huesing (Eds.), MEDINFO 2025 — Healthcare Smart × Medicine Deep : Proceedings of the 20th World Congress on Medical and Health Informatics (Vol. 329, pp. 748–752). I O S Press. https://doi.org/10.3233/shti250940