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

Applications of AI (365) Clinical Informatics (1469) Natural Language Processing (976) Ontologies, Classifications, and Coding (353) Machine Learning (2273)

Published on in Vol 5 (2026)

This is a member publication of McMaster University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77311, first published .
Fine-Tuning and Benchmarking Transformer Models for Multiclass Classification of Clinical Research Papers: Retrospective Modeling Study

Fine-Tuning and Benchmarking Transformer Models for Multiclass Classification of Clinical Research Papers: Retrospective Modeling Study

Fine-Tuning and Benchmarking Transformer Models for Multiclass Classification of Clinical Research Papers: Retrospective Modeling Study

Authors of this article:

Fangwen Zhou1 Author Orcid Image ;   Cynthia Lokker1 Author Orcid Image ;   Rick Parrish1 Author Orcid Image ;   R Brian Haynes1 Author Orcid Image ;   Alfonso Iorio1, 2 Author Orcid Image ;   Ashirbani Saha3 Author Orcid Image ;   Muhammad Afzal4 Author Orcid Image
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