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

Patient-Reported Outcome Measures (PROMs) (395) Clinical Information and Decision Making (2095) Digital Health, Telehealth and e-Innovation in Clinical Settings (588) Adoption and Change Management of eHealth Systems (966) Methods and Instruments in Medical Informatics (220)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84533, first published .
Artificial Intelligence for Identifying Patient-Reported Outcome and Experience Measures in Oncology: Retrospective Cross-Sectional Study Using ClinicalTrials.gov

Artificial Intelligence for Identifying Patient-Reported Outcome and Experience Measures in Oncology: Retrospective Cross-Sectional Study Using ClinicalTrials.gov

Artificial Intelligence for Identifying Patient-Reported Outcome and Experience Measures in Oncology: Retrospective Cross-Sectional Study Using ClinicalTrials.gov

Authors of this article:

Jessica Soyer1 Author Orcid Image ;   Akram Hecini1 Author Orcid Image ;   Sylvain Juchet1 Author Orcid Image ;   Céline Desvignes-Gleizes2 Author Orcid Image ;   Maxime Thiebaut1 Author Orcid Image ;   Jean-Philippe Bertocchio1, 3, 4, 5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Jessica Soyer   1 * , MSc ;   Akram Hecini   1 * , MSc ;   Sylvain Juchet   1 , PharmD, MSc ;   Céline Desvignes-Gleizes   2 , PhD ;   Maxime Thiebaut   1 , MSc, PharmD ;   Jean-Philippe Bertocchio   1, 3, 4, 5 , MD, PhD

1 SKEZI, Annecy, France

2 Mapi Research Trust, Lyon, France

3 Thyroïde – Tumeurs Endocrines, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France

4 Reference center for rare diseases related to calcium-phosphate metabolism disorders, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France

5 FHU-DDS-net, Dental School, Université Paris Cité, INSERM U1333 Santé Orale, Montrouge, France

*these authors contributed equally

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