Accessibility settings

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75932, first published .
Doctor reviews medical summary while AI judge and AI figures appear as holograms.

A Multiagent Summarization and Auto-Evaluation Framework for Medical Text: Development and Evaluation Study

A Multiagent Summarization and Auto-Evaluation Framework for Medical Text: Development and Evaluation Study

Authors of this article:

Yuhao Chen1 Author Orcid Image ;   Bo Wen2 Author Orcid Image ;   Farhana Zulkernine1 Author Orcid Image

Journals

  1. Anderson C. Agent role structure and operating characteristics in large language model clinical classification: A comparative study of specialist and deliberative multi-agent protocols. Informatics in Medicine Unlocked 2026;64:101783 View
  2. Çalışkan Y, Başak F. Comparative Performance and Utility of Large Language Models in Generating Psychological Screening Checklists for Bariatric Surgery. Bariatric Surgical Practice and Patient Care 2026 View
  3. Yajnik A, Anand Pushkala S. A Configuration-Level Comparative Evaluation of Workflow Bundles for Source-Grounded Academic PDF Analysis. IEEE Access 2026;14:127631 View

Books/Policy Documents

  1. Baâzaoui A, Khadhraoui H, Barhoumi W. Research Challenges in Information Science. View
  2. Malaquias R, de Morais Barroca Filho I, de Lima J, Gurgel A, de Brito B. Computational Science and Its Applications – ICCSA 2026. View