Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60695, first published .
Performance of Retrieval-Augmented Large Language Models to Recommend Head and Neck Cancer Clinical Trials

Performance of Retrieval-Augmented Large Language Models to Recommend Head and Neck Cancer Clinical Trials

Performance of Retrieval-Augmented Large Language Models to Recommend Head and Neck Cancer Clinical Trials

Journals

  1. Sezgin E, Jackson D, Kocaballi A, Bibart M, Zupanec S, Landier W, Audino A, Ranalli M, Skeens M. Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation. Cancer Medicine 2025;14(1) View
  2. Zarfati M, Soffer S, Nadkarni G, Klang E. Retrieval-Augmented Generation: Advancing personalized care and research in oncology. European Journal of Cancer 2025;220:115341 View
  3. Stetson P, Choy J, Summerville N, Baldwin-Medsker A, Mak J, Chatterjee A, Kim K, Kumar C, Samedy P, Halperin J, Voigt L, Jee J, Fraser J, Connor M, Harper R, Evard R, Offodile A. Responsible Artificial Intelligence governance in oncology. npj Digital Medicine 2025;8(1) View
  4. Hung T, Mao J, Ho A, Sherman E, Robson M, Park J, Stein E, Kuperman G, Pfister D. Real-world evaluation of user engagement with an artificial intelligence-powered clinical trial application in oncology. Journal of the American Medical Informatics Association 2025;32(10):1562 View
  5. Lin A, Fang X, Jiang A, Qi C, Gan W, Zhu L, Mou W, Zeng D, Xiao M, Chu G, Peng S, Wong H, Zhang L, Zhang H, Deng X, Cheng Q, Zhang H, Zhong Z, Li Z, Tang B, Luo P. Large language models in drug development: Current progress and future directions. Current Molecular Pharmacology 2025;18(1):1 View
  6. Jeon S, Lee S, Kim E, Eun J, Lee K, Lim H, Lee J. Generative AI Chatbot for Diabetes Management: Formative 2-Part Qualitative Study Using DTalksBot Involving Patients and Clinicians. JMIR Formative Research 2025;9:e72553 View