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

Innovations and Technology in Cancer Care (466) Clinical Information and Decision Making (1665) Patient Education for Cancer (192) Participatory Cancer Care (108) Decision Support for Health Professionals (1347)

Published on in Vol 8, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29289, first published .
Automated Clinical Practice Guideline Recommendations for Hereditary Cancer Risk Using Chatbots and Ontologies: System Description

Automated Clinical Practice Guideline Recommendations for Hereditary Cancer Risk Using Chatbots and Ontologies: System Description

Automated Clinical Practice Guideline Recommendations for Hereditary Cancer Risk Using Chatbots and Ontologies: System Description

Authors of this article:

Jordon B Ritchie1 Author Orcid Image ;   Lewis J Frey2 Author Orcid Image ;   Jean-Baptiste Lamy3 Author Orcid Image ;   Cecelia Bellcross4 Author Orcid Image ;   Heath Morrison5 Author Orcid Image ;   Joshua D Schiffman6, 7 Author Orcid Image ;   Brandon M Welch1 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

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  1. Shane-Carson K, Smith D, Smith A, Seeley C. Retrospective chart analysis to determine the impact of a patient-facing digital risk stratification tool combined with a clinical screener for hereditary cancer genetic risk assessment triage in a community oncology clinic. Journal of Community Genetics 2023;15(1):25 View
  2. Laymouna M, Ma Y, Lessard D, Schuster T, Engler K, Lebouché B. Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review. Journal of Medical Internet Research 2024;26:e56930 View
  3. Soni H, Morrison H, Vasilev D, Ong T, Wilczewski H, Allen C, Hughes-Halbert C, Ritchie J, Narma A, Schiffman J, Ivanova J, Bunnell B, Welch B. User experience of a family health history chatbot: A quantitative analysis. Health Informatics Journal 2024;30(2) View
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  5. Wang Y, Ren X, Gao K, Chen M, Huang Q, Yan S, Zhu Y, Sun X, Chen Y, Ge L, Gu J, Gao F, Hu W, Hong L, Zhao C, Shang H, Jin Y. Ontology of clinical practice guidelines for Integrated Traditional Chinese and Western Medicine. Journal of Evidence-Based Medicine 2024;17(3):604 View
  6. Nguyen M, Sedoc J, Taylor C. Usability, Engagement, and Report Usefulness of Chatbot-Based Family Health History Data Collection: Mixed Methods Analysis. Journal of Medical Internet Research 2024;26:e55164 View
  7. Lin S, Sun C, Chen D, Kang Y, Hoang K, Chen K, Chen C. Chatbots for breast cancer education: a systematic review and meta-analysis. Supportive Care in Cancer 2025;33(1) View
  8. Wang X, Dai C, Bao L. Technology empowerment and problem derivation: a visual comparative analysis of AIGC research status and trends in China and abroad. Information Discovery and Delivery 2025 View
  9. Bather J, Goodman M, Harris A, Del Fiol G, Hess R, Wetter D, Chavez-Yenter D, Zhong L, Kaiser-Jackson L, Chambers R, Bradshaw R, Kohlmann W, Colonna S, Espinel W, Monahan R, Buys S, Ginsburg O, Kawamoto K, Kaphingst K. Social vulnerability and genetic service utilization among unaffected BRIDGE trial patients with inherited cancer susceptibility. BMC Cancer 2025;25(1) View

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  1. Bharambe U, Patil K, Ingle P, Bhangale U. 2025 International Conference for Artificial Intelligence, Applications, Innovation and Ethics (AI2E). Exploring Opportunities and Addressing Challenges in Designing Knowledge Graph-Enhanced RAG-Based Chatbots for Managing Radiation Toxicity in Cancer Care View