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

Formative Evaluation of Digital Health Interventions (3229) Chatbots and Conversational Agents (740) Diabetes Self-Management (588) Health Coaching for Diabetes Patients (175)

Published on in Vol 6, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28091, first published .
Quantitative User Data From a Chatbot Developed for Women With Gestational Diabetes Mellitus: Observational Study

Quantitative User Data From a Chatbot Developed for Women With Gestational Diabetes Mellitus: Observational Study

Quantitative User Data From a Chatbot Developed for Women With Gestational Diabetes Mellitus: Observational Study

Authors of this article:

Mari Haaland Sagstad1, 2 Author Orcid Image ;   Nils-Halvdan Morken2, 3 Author Orcid Image ;   Agnethe Lund2, 3 Author Orcid Image ;   Linn Jannike Dingsør1 Author Orcid Image ;   Anne Britt Vika Nilsen1 Author Orcid Image ;   Linn Marie Sorbye2, 4 Author Orcid Image
Article Authors Cited by (26) Tweetations (3) Metrics

Journals

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  7. Ding H, Simmich J, Vaezipour A, Andrews N, Russell T. Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review. Journal of the American Medical Informatics Association 2024;31(3):746 View
  8. Kashyap N, Sebastian A, Lynch C, Jansons P, Maddison R, Dingler T, Oldenburg B. Engagement With Conversational Agent–Enabled Interventions in Cardiometabolic Disease Management: Protocol for a Systematic Review. JMIR Research Protocols 2024;13:e52973 View
  9. Şenoymak İ, Erbatur N, Şenoymak M, Egici M. Evaluating the accuracy and adequacy of ChatGPT in responding to queries of diabetes patients in primary healthcare. International Journal of Diabetes in Developing Countries 2025;45(3):619 View
  10. Uetova E, Hederman L, Ross R, O’Sullivan D. Exploring the characteristics of conversational agents in chronic disease management interventions: A scoping review. DIGITAL HEALTH 2024;10 View
  11. Su B, Jones R, Chen K, Kostenko E, Schmid M, DeMaria A, Villa A, Swarup M, Weida J, Tuuli M. Chatbot for patient education for prenatal aneuploidy testing: A multicenter randomized controlled trial. Patient Education and Counseling 2025;131:108557 View
  12. Wu Y, Zhang J, Ge P, Duan T, Zhou J, Wu Y, Zhang Y, Liu S, Liu X, Wan E, Sun X. Application of Chatbots to Help Patients Self-Manage Diabetes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e60380 View
  13. Suazo Galdames I. Chatbots for Promoting Healthy Habits and Scientific Culture. International Journal of Medical and Surgical Sciences 2023:1 View
  14. Amil S, Da S, Plaisimond J, Roch G, Sasseville M, Bergeron F, Gagnon M. Interactive Conversational Agents for Perinatal Health: A Mixed Methods Systematic Review. Healthcare 2025;13(4):363 View
  15. Kaneho A, Zrira N, Ouazzani-Touhami K, Khan H, Nawaz S. Development of a bilingual healthcare chatbot for pregnant women: A comparative study of deep learning models with BiGRU optimization. Intelligence-Based Medicine 2025;12:100261 View
  16. Kashyap N, Sebastian A, Lynch C, Jansons P, Maddison R, Dingler T, Oldenburg B. Engagement With Conversational Agent–Enabled Interventions in Cardiometabolic Disease Self-Management: Systematic Review. JMIR mHealth and uHealth 2025;13:e67913 View
  17. Nimri R, Phillip M. Enhancing Care in Type 1 Diabetes with Artificial Intelligence Driven Clinical Decision Support Systems. Hormone Research in Paediatrics 2025;98(4):384 View
  18. Shegal M, Hu L, Friesen E, Minian N, Maslej M, Rodak T, Whitmore C, Sherifali D, Selby P, Melamed O. Conversational agent interventions in diabetes care: a systematic review. Diabetes Research and Clinical Practice 2025;228:112429 View
  19. Valan P, Venugopal P. Evaluating a retrieval-augmented pregnancy chatbot: a comprehensibility–accuracy-readability study of the DIAN AI assistant. Frontiers in Artificial Intelligence 2025;8 View
  20. Jeon S, Lee S, Kim E, Eun J, Lee K, Lim H, Lee J. Generative AI Chatbot for Diabetes Management: Formative 2-Part Qualitative Study Using DTalksBot Involving Patients and Clinicians. JMIR Formative Research 2025;9:e72553 View
  21. Faraji A, Faramarzi H, Razeghi M, Asadi N, Vafaei H, Kasraeian M. Comparing Artificial Intelligence and Obstetrics Residents in Answering Standardized Patient Questions Regarding Gestational Diabetes. Cureus 2025 View
  22. Begum T, Devi R, Haridas D, Bacanin N, Jovicic M, Nikolic B. My diabetes care: an AI-based mobile app with conversational agent for type 2 diabetes self-management. Scientific Reports 2025;15(1) View

Books/Policy Documents

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Conference Proceedings

  1. Samonte M, Arlando R, Joquiño N, Manongas J, Poblete J. 2024 IEEE 4th International Conference on Software Engineering and Artificial Intelligence (SEAI). Applications of Artificial Intelligence in Conversational Agents: A Systematic Literature Review of AI in Chatbots View
  2. Choudhary J, Thakur M. 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). Advances in AI for Women's Healthcare: A Review of Deep Learning and NLP Approaches View