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

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (364) Artificial Intelligence (1773) Health Services Research in Oncology (43) Obstetrics, Gynecology, and Reproductive Medicine (283) Chatbots and Conversational Agents (645) Consumer & Patient Education and Shared-Decision Making (771)

Published on in Vol 11, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39288, first published .
Effectiveness of Artificial Intelligence–Assisted Decision-making to Improve Vulnerable Women’s Participation in Cervical Cancer Screening in France: Protocol for a Cluster Randomized Controlled Trial (AppDate-You)

Effectiveness of Artificial Intelligence–Assisted Decision-making to Improve Vulnerable Women’s Participation in Cervical Cancer Screening in France: Protocol for a Cluster Randomized Controlled Trial (AppDate-You)

Effectiveness of Artificial Intelligence–Assisted Decision-making to Improve Vulnerable Women’s Participation in Cervical Cancer Screening in France: Protocol for a Cluster Randomized Controlled Trial (AppDate-You)

Authors of this article:

Farida Selmouni1 Author Orcid Image ;   Marine Guy2 Author Orcid Image ;   Richard Muwonge1 Author Orcid Image ;   Abdelhak Nassiri3 Author Orcid Image ;   Eric Lucas1 Author Orcid Image ;   Partha Basu1 Author Orcid Image ;   Catherine Sauvaget1 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Farida Selmouni   1 , PhD ;   Marine Guy   2 , MPH, MD ;   Richard Muwonge   1 , PhD ;   Abdelhak Nassiri   3 , PhD ;   Eric Lucas   1 , MSc ;   Partha Basu   1 , MD, PhD ;   Catherine Sauvaget   1 , MD, PhD

1 Early Detection, Prevention & Infections Branch, International Agency for Research on Cancer, Lyon, France

2 Regional Cancer Screening Coordinating Centre of Occitanie, Carcassonne, France

3 Faculty of Law, Economics, Management and Economic and Social Administration, University of Western Brittany, Brest, France

Corresponding Author:

  • Farida Selmouni, PhD
  • Early Detection, Prevention & Infections Branch
  • International Agency for Research on Cancer
  • 150, Cours Albert Thomas
  • Lyon 69372
  • France
  • Phone: 33 0472738499
  • Email: selmounif@iarc.fr