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

Decision Support for Health Professionals (1705) Clinical Information and Decision Making (2157) Natural Language Processing (997) Electronic Health Records (1425) Recruitment of Research Participants (396)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80072, first published .
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An Intelligent Trial Eligibility Screening Tool Using Natural Language Processing With a Block-Based Visual Programming Interface: Development and Usability Study

An Intelligent Trial Eligibility Screening Tool Using Natural Language Processing With a Block-Based Visual Programming Interface: Development and Usability Study

Authors of this article:

Ya-Han Hu1, 2 Author Orcid Image ;   Yi-Ying Cheng1 Author Orcid Image ;   Chung-Ching Lan1 Author Orcid Image ;   Yu-Hsiang Su3 Author Orcid Image ;   Sheng-Feng Sung3, 4 Author Orcid Image
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  1. Issa M, Yang O, Doeve J, Arcot S, Chang A, Amara S, Bhakta S, Baber I, Shali K, Dweik Q, Hung T. Development and Evaluation of a Human-in-the-Loop Data Curation Training Program to Support a Digital Clinical Trial Platform: Descriptive Feasibility Study. JMIR Formative Research 2026;10:e81257 View
  2. Girão Carrilho M, Costa Pinto D, Wagner R, Rohden S, Telo de Arriaga M, Quelhas Pinto L. AI-Enabled Digital Health Promotion and Prevention: Computational Literature Review. JMIR AI 2026;5:e84492 View