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

Viewpoint (114) Clinical Information and Decision Making (3681) Human Factors and Usability Case Studies (1301) Knowledge Translation and Implementation Science (777) Decision Support for Health Professionals (2221) Responsible Health AI (223)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71831, first published .
Doctor explains medical scan results to an elderly couple in a clinic

Leveraging Artificial Intelligence for Clinical Study Matching: Key Threads for Interweaving Data Science and Implementation Science

Leveraging Artificial Intelligence for Clinical Study Matching: Key Threads for Interweaving Data Science and Implementation Science

Authors of this article:

Andrew James Goodwin1 Author Orcid Image ;   Sara Ann Armstrong2 Author Orcid Image ;   David Ptak3 Author Orcid Image ;   Kenneth Catchpole4 Author Orcid Image ;   Jihad S Obeid5 Author Orcid Image ;   Paul M Heider5 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Lun X. Application of deep learning in prognostic prediction of non-small cell lung cancer. Frontiers in Cell and Developmental Biology 2026;14 View
  2. Khan R, Chowdhry V, Sharma N, Thadani D. Artificial Intelligence and Automation in Pre-analytical Phase of Laboratory Testing: A Narrative Review. Apollo Medicine 2026 View