A deterministic large language model (LLM) framework for safe, protocol-adherent clinical decision support: application in hemodialysis anemia management (AnemiaCare HDs)
Deterministic LLM engineering enables safe, fully protocol-compliant clinical decision support in high-risk therapeutic domains. AnemiaCare HD demonstrates the viability of regulatory-aligned, auditable LLM frameworks for clinical use, although real-world integration and prospective validation remain necessary next steps.
Authors
- Wisit Cheungpasitporn (ORCID: https://orcid.org/0000-0001-9954-9711)
- Iasmina Craici
- Jing Miao (ORCID: https://orcid.org/0000-0003-0642-9740)
- Karina Ordaya-Gonzales
- Jose Arriola‐Montenegro (ORCID: https://orcid.org/0000-0001-6921-7230)
- Charat Thongprayoon
- Benjamin Bizer
Institutions
- Mayo Clinic (US)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-12-12
- DOI
- https://doi.org/10.3389/frai.2025.1728320
- Primary Topic
- Erythropoietin and Anemia Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00