Robitschek, E., Bastani, A., Sordean, S., Horwath, K., Lai, J., Pletcher, M., Chen, I.Y., Ge, J.. S2474 Quantifying the Tradeoff Between Medical Urgency and Psychosocial Fitness on Liver Transplant Listing Decisions. The American Journal of Gastroenterology 120(10S2):p S531, October 2025.
Ulcerative Colitis Advanced Therapy Timeline Prediction Using Large Language Models
Zou, Y., Chen, M., Yim, R., Washington, P., Hswen, Y., Rudrapatna, V.. S1708 Ulcerative Colitis Advanced Therapy Timeline Prediction Using Large Language Models. The American Journal of Gastroenterology 120(10S2):p S355, October 2025.
mHealth technologies in research studying cardiovascular health in cancer: A systematic review
Benzo, R. M., Gogineni, A., Tetrick, M. K., Singh, R., Washington, P., Fernandez, S., … & Addison, D. (2025). mHealth technologies in research studying cardiovascular health in cancer: A systematic review. PLOS Digital Health, 4(9), e0001027.
Optimising large language models for clinical information extraction: a benchmarking study in the context of ulcerative colitis research
Yim, R.P., Silverman, A.L., Wang, S., Rudrapatna, V.A. Optimising large language models for clinical information extraction: a benchmarking study in the context of ulcerative colitis research. BMJ Digital Health & AI. 2025;1:e000014.
Reimagining clinical AI: from clickstreams to clinical insights with EHR use metadata
Yan, C., Zhang, X., Kannampallil, T.G. Adler-Milstein, J., & Chen, Y. Reimagining clinical AI: from clickstreams to clinical insights with EHR use metadata. npj Health Syst. 2, 33 (2025). https://doi.org/10.1038/s44401-025-00040-5.
Automated Radiation Response Assessment with Deep Learning and Radiomics in Pediatric Diffuse Midline Glioma
Mojahed-Yazdi, R., Zielke, J., Zapaishchykova, A., Tak, D., Mussa, F. R., Ye, Z., … Rauschecker, A.,… & Kann, B. H. (2025). Automated Radiation Response Assessment with Deep Learning and Radiomics in Pediatric Diffuse Midline Glioma. International Journal of Radiation Oncology* Biology* Physics, 123(1), e194.
Multi-Institutional Validation of the SHIELD-RT Machine Learning Model to Prevent Acute Care Events during Radiotherapy
Elia, M. V., Benson, R., Bhargava, N., Levey, J., Eclov, N., Friesner, I., … Feng, J., … & Hong, J. C. (2025). Multi-Institutional Validation of the SHIELD-RT Machine Learning Model to Prevent Acute Care Events during Radiotherapy. International Journal of Radiation Oncology* Biology* Physics, 123(1), S74-S75.
PRIME 2.0: An Update to The Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation Checklist.
Kagiyama, N., Tokodi, M., Hathaway, Q. A., Arnaout, R., Davies, R., Dey, D., … & Sengupta, P. P. (2025). PRIME 2.0: An Update to The Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation Checklist. JACC: Cardiovascular Imaging.
Laslo, D., Nguyen, B., Suhami, D., Mueller, T., Lipina, J., Mir, N., … Rauschecker, A., … & Brüningk, S. (2025). IMG-04. Anatomical tumor growth predictions in pediatric diffuse midline glioma using generative AI. Neuro-Oncology Pediatrics, 1(Supplement_1), wuaf001-166.
Laslo, D., Nguyen, B., Suhami, D., Mueller, T., Lipina, J., Mir, N., … Rauschecker, A., … & Brüningk, S. (2025). IMG-04. Anatomical tumor growth predictions in pediatric diffuse midline glioma using generative AI. Neuro-Oncology Pediatrics, 1(Supplement_1), wuaf001-166.
Chen, I. Y., & Alsentzer, E. (2025). Redefining Bias Audits for Generative AI in Health Care. NEJM AI, AIp2500015.
Chen, I. Y., & Alsentzer, E. (2025). Redefining Bias Audits for Generative AI in Health Care. NEJM AI, AIp2500015.

