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Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65848, first published .
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Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project

Journals

  1. Moultrie R, Andrews S, Williams K, Kutsa O, Hudnell T, Brailsford J, Aguilar S, Savage S, Biesecker B, Hunter J. Primary care patient and clinician attitudes about population genomic screening, informed decision‐making needs, and the potential for Chatbot technology. Journal of Genetic Counseling 2025;34(4) View
  2. Lin S, Zhou C, Chen H, Zhou X, Yang H, Sun L, Zhang L, Zhang Y. Advances in Hereditary Colorectal Cancer: How Precision Medicine Is Changing the Game. Cancers 2025;17(21):3461 View
  3. Haghighat R, Levi S, Frey M. Artificial Intelligence for Genetic Cancer Risk Assessment in Gynecologic Oncology. Clinical Obstetrics & Gynecology 2026 View
  4. Del Fiol G, Borsato E, Bradshaw R, Bian J, Woodbury A, Gauchel C, Eilbeck K, Maxwell W, Ellis K, Madeo A, Schlechter C, Kukhareva P, Allen C, Kean M, Elkin E, Sharaf R, Ahsan M, Frey M, Davis-Rivera L, Kohlmann W, Wetter D, Kaphingst K, Kawamoto K. GARDE-Chat: a scalable, open-source platform for building and deploying health chatbots. Journal of the American Medical Informatics Association 2026;33(3):593 View
  5. Keels J, Babicheva V, McDonald I, Witt J, Dwyer A. Optimizing Risk Communication for Lynch Syndrome: Results of a Randomized Controlled Trial of Visual Arrays for Genetic Testing. Cancers 2026;18(9):1369 View
  6. Hui V, Tian L, Feng X, Yuan X, Yorke J, Lee Y. Leveraging AI chatbots in supporting breast and ovarian cancer patients: A scoping review. DIGITAL HEALTH 2026;12 View

Conference Proceedings

  1. Putra P, Nurfadhilah E, Pebiana S, Prakasa E. 2025 International Conference on Computer, Control, Informatics and its Applications (IC3INA). Towards a Safe and Trustworthy LLM-RAG Chatbot for Hemodialysis Patient Education: Design, Implementation, and Preliminary Evaluation View