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This paper is in the following e-collection/theme issue:

AI Language Models in Health Care (308) Clinical Informatics (1525) Natural Language Processing (1011) mHealth in a Clinical Setting (818) Ontologies, Classifications, and Coding (364) Innovations in Clinical Trials and Research Data Management (152) Generative Language Models Including ChatGPT (917) Applications of AI (408)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71252, first published .
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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

Authors of this article:

Kye Hwa Lee1 Author Orcid Image ;   Sujung Jang2 Author Orcid Image ;   Grace Juyun Kim3 Author Orcid Image ;   Sukyoung Park2 Author Orcid Image ;   Doeun Kim2 Author Orcid Image ;   Oh Jin Kwon3 Author Orcid Image ;   Jae-Ho Lee4 Author Orcid Image ;   Young-Hak Kim5 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

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;52(5):793 View

Conference Proceedings

  1. Rosito F, Cazella S, Franco M. Anais Estendidos do XXI Simpósio Brasileiro de Sistemas Colaborativos (SBSC 2026). Arquitetura de Aprendizado Federado para Adaptação Colaborativa de LLMs de Saúde: Estruturação de Dados Clínicos em HL7 FHIR View