Natsuhara, K. H., Shah, N. D., Ma, C., Rahman, S. B., Dy, M., Elkhatib, H., … Aguilera, A., … & Sharma, A. E. Bridging the Digital Divide with Digital Navigation in the California Safety Net: A Mixed-Methods Study. Journal of general internal medicine.
Halvorson, R. T., Keeley, T., Niknam, K., Zack, T., Majumdar, S., Feeley, B. T., … & Lansdown, D. A. (2026). Large language model predicts surgeon recommendations for imaging and surgery for patients presenting for knee and shoulder complaints with 70% and 81% accuracy using previsit questionnaire responses. Arthroscopy.
Halvorson, R. T., Keeley, T., Niknam, K., Zack, T., Majumdar, S., Feeley, B. T., … & Lansdown, D. A. (2026). Large language model predicts surgeon recommendations for imaging and surgery for patients presenting for knee and shoulder complaints with 70% and 81% accuracy using previsit questionnaire responses. Arthroscopy.
Kanal, S. A., Bailey, J., Lotz, J., Scheffler, A., & Peterson, T. (2026). Automated Annotation of Pain Chronicity in Patients With Back Pain by Using Electronic Health Records: Retrospective Study. JMIR Formative Research, 10(1), e63198.
Kanal, S. A., Bailey, J., Lotz, J., Scheffler, A., & Peterson, T. (2026). Automated Annotation of Pain Chronicity in Patients With Back Pain by Using Electronic Health Records: Retrospective Study. JMIR Formative Research, 10(1), e63198.
March 4 Blankemeier, L., Kumar, A., Cohen, J. P., Liu, J., Liu, L., Van Veen, D., … Yala, A., … & Chaudhari, A. S. (2026). Merlin: a computed tomography vision–language foundation model and dataset. Nature, 1-11.
Blankemeier, L., Kumar, A., Cohen, J. P., Liu, J., Liu, L., Van Veen, D., … Yala, A., … & Chaudhari, A. S. (2026). Merlin: a computed tomography vision–language foundation model and dataset. Nature, 1-11.

