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

Decision Support for Health Professionals (1145) Artificial Intelligence (1214) Breast Cancer (201) Clinical Information and Decision Making (1339) Clinical Cancer Research (73) Cancer and Clinical Trials (16) Innovations in Clinical Trials and Research Data Management (73) Recruitment of Research Participants (280)

Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27767, first published .
Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study

Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study

Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study

Authors of this article:

Tufia Haddad1 Author Orcid Image ;   Jane M Helgeson1 Author Orcid Image ;   Katharine E Pomerleau1 Author Orcid Image ;   Anita M Preininger2 Author Orcid Image ;   M Christopher Roebuck3 Author Orcid Image ;   Irene Dankwa-Mullan2 Author Orcid Image ;   Gretchen Purcell Jackson2, 4 Author Orcid Image ;   Matthew P Goetz1 Author Orcid Image
Article Authors Cited by (25) Tweetations (6) Metrics

Journals

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  18. Wang K, Cui H, Zhu Y, Hu X, Hong C, Guo Y, An L, Zhang Q, Liu L. Evaluation of an artificial intelligence-based clinical trial matching system in Chinese patients with hepatocellular carcinoma: a retrospective study. BMC Cancer 2024;24(1) View
  19. Gédor M, Desandes E, Chesnel M, Merlin J, Marchal F, Lambert A, Baudin A. Développement d’une solution d’intelligence artificielle pour améliorer le screening en recherche clinique. Bulletin du Cancer 2024;111(5):473 View
  20. Lajmi N, Alves-Vasconcelos S, Tsiachristas A, Haworth A, Woods K, Crichton C, Noble T, Salih H, Várnai K, Branford-White H, Orrell L, Osman A, Bradley K, Bonney L, McGowan D, Davies J, Prime M, Hassan A. Challenges and solutions to system-wide use of precision oncology as the standard of care paradigm. Cambridge Prisms: Precision Medicine 2024;2 View
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Books/Policy Documents

  1. Pokhriyal P, Chavda V, Pathak M. Bioinformatics Tools for Pharmaceutical Drug Product Development. View
  2. Yu F. Clinical Informatics Study Guide. View