Bellucci, G., Gu, W., Rose, P. W., & Baranzini, S. E. (2026). An agentic AI framework connecting language models to electronic health records and a biomedical knowledge graph for real-world evidence. Frontiers in Artificial Intelligence, 9, Article 1883853. https://doi.org/10.3389/frai.2026.1883853

Elia, M. V., Friesner, I. D., Kwon, D., Ni, L., Sinha, S., Ishiyama, Y., Zack, T., Bridge, M., Fong, L., & Hong, J. C. (2026). Large language models and adverse event detection within immunotherapy clinical trials. JAMA Network Open, 9(9), Article e2631840. https://doi.org/10.1001/jamanetworkopen.2026.31840 

Gambini, L., Lau, C., Moon-Grady, A.J., Zhao, Y., Akintoye, O., Belay, W., Eckersley, L., Fatusin, O., Chambers Gurson, S., Harrington, J., Howley, L., Pinto, N., Ramlogan, S., Srinivasan, R., Wang, S. and Arnaout, R. (2026), OP14.01: Toward multicenter generalizability for deep learning-enabled congenital heart disease detection: Fetal Heart Society collaborative study. Ultrasound Obstet Gynecol, 68: 78-79. https://doi.org/10.1002/uog.70305_201 

Kim, H., Liang, S., Lanier, K., Helman, S., Cheng, N. F., Ameli, N., Davidson, J., Mehta, S., Hswen, Y., Oldenburg, C. E., Rhoads, K., Charlebois, E. D., Gansky, S. A., & Brown, W., III. (2026). Development and evaluation of large language model-assisted semi-automated data harmonization pipeline for the Multiple Chronic Disease Disparities Research Consortium: A proof-of-concept study. JMIR AI. Advance online publication. https://doi.org/10.2196/93996