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

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (409) Consumer & Patient Education and Shared-Decision Making (931) Obstetrics, Gynecology, and Reproductive Medicine (349) Chatbots and Conversational Agents (796) Artificial Intelligence (2399) Health Services Research in Oncology (70)

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 (7) Tweetations (5) Metrics

Journals

  1. Lastrucci A, Giarnieri E, Carico E, Giansanti D. Revolutionizing Cytology and Cytopathology with Natural Language Processing and Chatbot Technologies: A Narrative Review on Current Trends and Future Directions. Bioengineering 2024;11(11):1134 View
  2. Aruna Kumar T, Thirumaleshwar S, Kumar Somareddy H, Kewlani P. Evolving strategies in cervical cancer therapy: A comprehensive review navigating from molecular insights to regulatory challenges. Journal of Drug Delivery Science and Technology 2025;104:106568 View
  3. Chen D, He E, Pace K, Chekay M, Raman S. Concordance with SPIRIT-AI guidelines in reporting of randomized controlled trial protocols investigating artificial intelligence in oncology: a systematic review. The Oncologist 2025;30(5) View
  4. Hu Y, Lau W, Wang Z, Tang R, Wu X, Mo P, Wong S, Meng M, Dong D, Sung J, Lam T. Theory-based chatbot for promoting colorectal cancer screening in a community setting in Hong Kong: study protocol of a randomised controlled trial. BMJ Open 2025;15(7):e103857 View
  5. Le Bonniec A, Sauvaget C, Lucas E, Nassiri A, Selmouni F. Design and Validation of a Chatbot-Based Cervical Cancer Screening Decision Aid for Women Experiencing Socioeconomic Disadvantage: User-Centered Approach Study. JMIR Cancer 2025;11:e70251 View
  6. Chandran A, Togawa K, Mosquera I, Selmouni F, Dimitrova N, Lucas E, Muwonge R, Robbins H, Johansson M, Park J, Man I, Baussano I, Espina C, Clifford G, Carvalho A, Basu P. From evidence to action: the IARC’s role in strengthening cancer prevention and early detection. JNCI Monographs 2026;2026(72):69 View

Conference Proceedings

  1. Manni S, Phillips B, Hamzaki Z, Jamal S, Hook J. ACM International Conference on Interactive Media Experiences. Negotiating Neutrality: Designing a Responsive Video to Support Fertility Preservation Decision-making by Cancer-diagnosed Young Female Patients View