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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71252, first published .
Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study

Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study

Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study

Journals

  1. Ekingen E, Ucdal M. Performance Comparison of a Neuro-Symbolic Large Language Model System Versus Human Experts in Acute Cholecystitis Management. Journal of Clinical Medicine 2026;15(5):1730 View
  2. Herdiana Y, Mohammed A, Kautsar A, Sopyan I, Wathoni N. Artificial Intelligence as a Disruptive Force in Pharmaceutical Innovation: Transforming Discovery, Development, and Manufacturing. Drug Design, Development and Therapy 2026;Volume 20:1 View
  3. Shinde A, Mhaismale H, Pawar P, Mane S, Bembde A. Generative artificial intelligence and large language models in pharmaceutical formulation and personalized pharmacy: a review of opportunities, technical constraints, and regulatory readiness. Drug Development and Industrial Pharmacy 2026:1 View