VaxBot-HPV: a GPT-based chatbot for answering HPV vaccine-related questions
This study underscores the importance of leveraging large language models and fine-tuning techniques in the development of chatbots for healthcare applications, with implications for improving medical education and public health communication.
Authors
- Yiming Li (ORCID: https://orcid.org/0009-0009-8784-1745)
- Cui Tao
- Manqi Li (ORCID: https://orcid.org/0000-0002-5206-0369)
- Lu Tang (ORCID: https://orcid.org/0000-0002-1850-1511)
- Licong Cui (ORCID: https://orcid.org/0000-0001-5549-8780)
- Lara S. Savas (ORCID: https://orcid.org/0000-0003-0799-4012)
- Muhammad Amith (ORCID: https://orcid.org/0000-0003-4333-1857)
- Jianfu Li (ORCID: https://orcid.org/0000-0002-9949-7007)
- Evan Yu (ORCID: https://orcid.org/0000-0001-9135-3757)
- Danniel Rhee
Institutions
- Mayo Clinic in Florida (US)
- The University of Texas Medical Branch at Galveston (US)
- Texas A&M University (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- JAMIA Open
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/jamiaopen/ooaf005
- Citations
- 24
- Primary Topic
- Vaccine Coverage and Hesitancy
- Type
- article
- Field-Weighted Citation Impact
- 12.67
Funders
- Cancer Prevention and Research Institute of Texas
- National Institutes of Health
- National Institute of Allergy and Infectious Diseases
- National Institute of Diabetes and Digestive and Kidney Diseases