Sun, J., Ma, S., Fan, Y., & Washington, P. (2026). LLMs underperform on classifying anxiety and depression using therapy conversations: A first-step benchmark. Applied Sciences, 16(7), 3388.
by Kristi Leung on
Fawzi, F. Z., Menkovic, I., Dostie, N., Tremblay-Gravel, M., Parent, M.-C., Asslo, G., Tanguay, J.-F., Marquis-Gravel, G., Ansari, M., Barrios, J. P., Tison, G. H., Delfrate, J., & Avram, R. (2026). Automated assessment of right ventricular systolic function from coronary angiograms with video-based artificial intelligence algorithms: Development, validation, comparison against humans and prospective deployment. European Heart Journal – Digital Health, ztag059.
Yu, H., Bondarenko, M., Nowroozi, A., Lee, Y. J., Serapio, A., Kaveti, P., Schnitzler, T., Brar, S. S., & Sohn, J. H. (2026). Pre-imaging clinical factors associated with cardiac MR image quality using large language model-enabled data extraction. Journal of Magnetic Resonance Imaging, 1–14.
Debiais-Deschamps, C., Raynaud, M., Truchot, A., Lombardi, Y., Divard, G., Rudrapatna, V. A., … & Loupy, A. (2026). A prediction model for risk of death in kidney transplant recipients. JAMA Network Open, 9(4), e267452.
Zamora Hua, S. B., Heller, N., He, P., Towbin, A. J., Chen, I. Y., Lu, A. X., & Erdman, L. (2026). Underrepresentation of children in public medical imaging datasets. Nature Health, 1–10.
Researchers Teach AI to Spot Cancer Risk
Lydia Sohn, PhD, and researchers at City of Hope featured in Berkeley News, share their first-of-its-kind platform in a recent study, squeezing individual breast epithelial cells to measure how they deform, recover and behave under stress.
The Market Dynamics for Third-Party AI Tools Trying to Compete With Electronic Health Record Developers
Julia Adler-Milstein, PhD, and Sara Murray, MD, MAS, along with Robert Wachter, MD, featured in Digital Health Wire, share their recent findings, examining the competitive landscape shaping AI adoption in health systems.
Providing Support for Mental Health Disorders Across Cancer Populations
Julian Hong, MD, MS, featured in Oncology On The Go’s podcast episode, discussed considerations for optimizing care among patients with mental health disorders (MHDs) who are undergoing treatment for cancer.
Center for Edge Medicine Awarded Laude Moonshots Seed Grant to Build Open AI Infrastructure for Frontline Healthcare
Dr. Ida Sim and researchers from UCSF & UC Berkeley Computational Precision Health (CPH) and UC Berkeley Institute for Data Science (BIDS) have been awarded a Laude Moonshots seed grant in support of Edge Medicine, an initiative to bring intelligent, always-on AI tools to the frontier of healthcare: patients’ everyday lives.
Zink, A., Luan, H., & Chen, I. Y. (2026). Access to care affects electronic health record reliability and AI-driven disease prediction. Nature Health. https://doi.org/10.1038/s44360-026-00054-9
Zink, A., Luan, H., & Chen, I. Y. (2026). Access to care affects electronic health record reliability and AI-driven disease prediction. Nature Health. https://doi.org/10.1038/s44360-026-00054-9
