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

Formative Studies and eHealth/mHealth Development (612) Clinical Information and Decision Making (2137) Tools, Programs and Algorithms (421) Natural Language Processing (991) Innovations in Clinical Trials and Research Data Management (148) AI Language Models in Health Care (283)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86425, first published .
A Natural Language Processing Framework for Structuring and Visualizing Clinical Trial Eligibility Criteria at Scale: Protocol for a Quantitative Study

A Natural Language Processing Framework for Structuring and Visualizing Clinical Trial Eligibility Criteria at Scale: Protocol for a Quantitative Study

A Natural Language Processing Framework for Structuring and Visualizing Clinical Trial Eligibility Criteria at Scale: Protocol for a Quantitative Study

Authors of this article:

Justin Xie1 Author Orcid Image ;   Jeet Parikh1 Author Orcid Image ;   Jessica Liu2 Author Orcid Image ;   Sameer Pandya3 Author Orcid Image ;   Guannan Gong2 Author Orcid Image
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Justin Xie   1 ;   Jeet Parikh   1 ;   Jessica Liu   2 , BS ;   Sameer Pandya   3 , MS ;   Guannan Gong   2 , PhD

1 Yale College, Yale University, New Haven, CT, United States

2 Yale Cancer Center, Yale School of Medicine, New Haven, CT, United States

3 Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, United States

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