Recent Publications

Nakato, J. Z., Litunya, J., Beesiga, B., Kabami, J., Ayieko, J., Kamya, M. R., Chamie, G., & Balzer, L. B. (2026). A causal framework for evaluating the total effect of strategies aiming to expand screening and to improve outcomes. Statistics in Medicine, 45(15-17), e70648. https://doi.org/10.1002/sim.70648 

Palmer, M., Derks, I., Schaaf, H. S., Goussard, P., Jaganath, D., Kik, S. V., Gibb, D. M., Turkova, A., Walters, E., van der Zalm, M. M., Hesseling, A. C., & Seddon, J. A. (2026). Computer-aided detection for radiological disease severity classification on chest radiograph in children with intra-thoracic tuberculosis. PLOS Global Public Health, 6(6), Article e0006547. https://doi.org/10.1371/journal.pgph.0006547 

Robitschek, E., Bastani, A., Lev, S., Horwath, K., Lai, J., Pletcher, M., Chen, I., & Ge, J. (2026). Higher medical urgency is associated with greater psychosocial risk tolerance in liver transplant listing and selection. Transplantation. https://doi.org/10.1097/TP.0000000000005800 

Iott, B., Pantell, M., & Adler-Milstein, J. (2026). Social drivers of health in the electronic health record. Annual Review of Biomedical Data Science, 9. Advance online publication. https://doi.org/10.1146/annurev-biodatasci-092724-023921 

Benzo, R., Fisher, J., Tetrick, M., Singh, R., Osei, A., Krok-Schoen, J., Nickerson, B., Paskett, E., Kargarandehkordi, A., Kumar, S., St George, S., Rayo, M., Penedo, F., & Washington, P. (2026). Correlates of fitness tracker ownership and use in cancer survivors: Cross-sectional survey. JMIR Cancer, 12, e92876. https://doi.org/10.2196/92876 

Ashtari, S., Holmgren, A. J., & Rodriguez, H. P. (2026). Patterns and predictors of clinician use of interoperability tools. JAMIA Open, Article ooag116. https://doi.org/10.1093/jamiaopen/ooag116 

Guennoun, Y., Nedelec, P., McArthur, M., Bloch, E., Wei, J., Sugrue, L., Calabrese, E., & Rauschecker, A. M. (2026). Segmenting with confidence through uncertainty quantification for brain tumor imaging. npj Digital Medicine. https://doi.org/10.1038/s41746-026-02902-0 

Feng, J., Kothari, A., Vossler, P., Bishara, A., Zier, L., Addo, N., Kornblith, A., Tan, Y. S., & Singh, C. (2026). Human-AI co-design for clinical prediction models. npj Digital Medicine. https://doi.org/10.1038/s41746-026-02838-5

Pan, T.-F., Nandi, B., Campusano, R., Simon, A. J., Ziegler, D. A., Gazzaley, A., Abbasi-Asl, R., & Zanto, T. P. (2026). When more is not better: Predicting human emotional states with brain and bodily biosensors. Biomedical Signal Processing and Control, 113, 109038. https://www.sciencedirect.com/science/article/pii/S1746809425015496

van Amsterdam, W. A. C., Oberst, M., Feng, J., Wiens, J., Tang, S., Joshi, S., Ranganath, R., Sendak, M., Shalit, U., Vogt, J. E., Beaulieu-Jones, B., Mamdani, M., Kent, D., Heagerty, P. J., Fleming, T. R., & Goldenberg, A. (2026). Clinical trials for continuously monitored and updated AI systems. Nature Medicine, 1–3. https://doi.org/10.1038/s41591-026-04368-9