Recent Publications

Narang, K., Addo, N., Williams, C. Y. K., Firnberg, M., Feng, J., & Kornblith, A. (2026). Assessing acuity in pediatric emergency department triage: Performance of a large language model. npj Health Systems, 3, Article 68. https://doi.org/10.1038/s44401-026-00128-6

Kishore, S. P., Narang, P., & Auerbach, A. (2026). Sorting results of unknown significance—A framework for clinicians navigating wearable data in the AI era. JAMA, 336(9), 733–735. https://doi.org/10.1001/jama.2026.13895

Schubert, A., Liang, M. Q., Sagers, L., & Obermeyer, Z. (2026). Deep-learning analysis of 12-lead ECGs detects drug-induced hERG inhibition and improves risk stratification beyond QTc. European Heart Journal Supplements, 28(Supplement_8), suag097.224. https://doi.org/10.1093/eurheartjsupp/suag097.224

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

Fukuoka, Y., Kim, D. D., Zhang, J., Hoffmann, T. J., & Sagae, K. (2026). Short-term efficacy of the artificial intelligence HeartBot II in increasing awareness and knowledge of heart attack in women: Protocol for a randomized controlled trial with a waitlist control. JMIR Research Protocols, 15, Article e103597. https://doi.org/10.2196/103597

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 

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 

Tumpa, Z. N., Shahriar Zawad, M. R., Sollis, L., Parab, S., Azizian, P., Honarmand, M., Kargarandehkordi, A., Tarrit, K., Abbasi-Asl, R., Bove, R., Wall, D. P., & Washington, P. (2026). RobustPDx: A structured web-based Parkinson’s assessment dataset and benchmark for AI robustness to device type and handedness. Scientific Data, 13, Article 8118. https://doi.org/10.1038/s41597-026-08118-x 

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

Stapley, J. N., Ko, Y., Jeyapragasan, G., Chan, E. M. G., Walekhwa, A. W., Mills, C., Fraser, C., Reingold, A. L., Ebengo, D., Donnelly, C. A., Mbala, P. K., & Whittaker, C. (2026). Evaluating the impact of antiviral post-exposure prophylaxis for health-care workers during orthoebolavirus outbreaks: A modelling study. medRxiv. https://doi.org/10.64898/2026.06.26.26356717