Evaluating Retrieval-Augmented Generation-Large Language Models for Infective Endocarditis Prophylaxis: Clinical Accuracy and Efficiency
LLMs with RAG provide rapid and accessible support for clinical decision-making. Nonetheless, their outputs are not always accurate and may not fully reflect evolving medical and dental knowledge. It is crucial that clinicians and students approach these tools with digital literacy and caution, ensuring that professional judgment remains central.
Authors
- Vorapat Trachoo (ORCID: https://orcid.org/0000-0002-1478-1122)
- Paak Rewthamrongsris (ORCID: https://orcid.org/0009-0004-3678-8554)
- Thantrira Porntaveetus
- Jirayu Burapacheep
- Zohaib Khurshid
- Vivat Thongchotchat
Institutions
- Chulalongkorn University (TH)
- Stanford University (US)
Publication Details
- Journal
- International Dental Journal
- Published
- 2025-12-25
- DOI
- https://doi.org/10.1016/j.identj.2025.109344
- Citations
- 1
- Primary Topic
- Infective Endocarditis Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.35