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

Decision Support for Health Professionals (1210) Artificial Intelligence (1421) Breast Cancer (213) Clinical Information and Decision Making (1434) Clinical Cancer Research (88) Cancer and Clinical Trials (20) Innovations in Clinical Trials and Research Data Management (84) Recruitment of Research Participants (305)

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 (32) Tweetations (6) Metrics

Tufia Haddad   1 , MD ;   Jane M Helgeson   1 , BSc ;   Katharine E Pomerleau   1 , MBA ;   Anita M Preininger   2 , PhD ;   M Christopher Roebuck   3 , PhD, MBA ;   Irene Dankwa-Mullan   2 , MD, MPH ;   Gretchen Purcell Jackson   2, 4 , MD, PhD, FACS ;   Matthew P Goetz   1 , MD

1 Mayo Clinic, Rochester, MN, United States

2 IBM Watson Health, Cambridge, ME, United States

3 RxEconomics LLC, Hunt Valley, MD, United States

4 Vanderbilt University Medical Center, Nashville, TN, United States

Corresponding Author: