Answering real-world clinical questions using large language model, retrieval-augmented generation, and agentic systems

By sjmartinez • June 13, 2025

Low YS, Jackson ML, Hyde RJ, Brown RE, Sanghavi NM, Baldwin JD, Pike CW, Muralidharan J, Hui G, Alexander N, Hassan H, Nene RV, Pike M, Pokrzywa CJ, Vedak S, Yan AP, Yao DH, Zipursky AR, Dinh C, Ballentine P, Derieg DC, Polony V, Chawdry RN, Davies J, Hyde BB, Shah NH, Gombar S. Answering real-world clinical questions using large language model, retrieval-augmented generation, and agentic systems. Digit Health. 2025 Jun 9;11:20552076251348850. doi: 10.1177/20552076251348850. PMID: 40510193; PMCID: PMC12159471.

Tags: Artificial intelligence, Cohort study, evidence-based medicine, Fellow, Hematology/Oncology, Large language models, Publications, retrieval-augmented generation

Mirvetuximab Soravtansine Exposure and Incidence of Cataract Surgery

Silverstein JF, Smick A, Tsui E, Alomaja O, Johnson B, Tseng CH, Salani R, Slamon DJ, Chase DM, Konecny GE. Mirvetuximab Soravtansine Exposure and Incidence[...]

Efficacy and safety of elranatamab in patients with relapsed or refractory multiple myeloma: A US subgroup analysis from MagnetisMM-3

Nooka AK, Strouse C, Larson SM, Lesokhin A, Varshavsky-Yanovsky A, Vesole DH, Koehne G, Soussou E, Sullivan ST, Cheng J, Raje N. Efficacy and safety[...]

Five-Year Survival with Tebentafusp in Metastatic Uveal Melanoma

Piperno-Neumann S, Rutkowski P, Hassel JC, Butler MO, Schlaak M, Sullivan RJ, Dummer R, Kirkwood JM, Sacco JJ, Shoushtari AN, Piulats JM, Salama AKS, Orloff[...]