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

Artificial Intelligence (1676) Tools, Programs and Algorithms (315) Simulation (127) Machine Learning (1694) Secondary Use of Clinical Data for Research and Surveillance (412) Advanced Data Analytics in eHealth (164) New Methods (1023) Virtual Patients (62) Recruitment of Research Participants (340)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66821, first published .
Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Authors of this article:

Samer El Kababji1, 2 Author Orcid Image ;   Nicholas Mitsakakis2 Author Orcid Image ;   Elizabeth Jonker2 Author Orcid Image ;   Ana-Alicia Beltran-Bless3 Author Orcid Image ;   Gregory Pond4 Author Orcid Image ;   Lisa Vandermeer3 Author Orcid Image ;   Dhenuka Radhakrishnan2 Author Orcid Image ;   Lucy Mosquera5 Author Orcid Image ;   Alexander Paterson6 Author Orcid Image ;   Lois Shepherd7 Author Orcid Image ;   Bingshu Chen7 Author Orcid Image ;   William Barlow8 Author Orcid Image ;   Julie Gralow9 Author Orcid Image ;   Marie-France Savard3 Author Orcid Image ;   Christian Fesl10 Author Orcid Image ;   Dominik Hlauschek10 Author Orcid Image ;   Marija Balic11 Author Orcid Image ;   Gabriel Rinnerthaler11 Author Orcid Image ;   Richard Greil12 Author Orcid Image ;   Michael Gnant13 Author Orcid Image ;   Mark Clemons3 Author Orcid Image ;   Khaled El Emam1, 2 Author Orcid Image
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