Improving Reliability and Explainability of Medical Question Answering Through Atomic Fact-Checking in Retrieval-Augmented Large Language Models: Creation and Validation Study.
- DOI
- 10.2196/92090
- Published
- 2026 Sep 21
- Container
- Journal of medical Internet research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/92090,
title = {Improving Reliability and Explainability of Medical Question Answering Through Atomic Fact-Checking in Retrieval-Augmented Large Language Models: Creation and Validation Study.},
author = {Vladika J and Domres A and Nguyen M and Moser R and Nano J and Busch F and Adams L and Bressem KK and Bernhardt D and Combs SE and Borm K and Matthes F and Peeken JC},
year = {2026},
journal = {Journal of medical Internet research},
doi = {10.2196/92090},
url = {https://doi.org/10.2196/92090}
}RIS
TY - JOUR TI - Improving Reliability and Explainability of Medical Question Answering Through Atomic Fact-Checking in Retrieval-Augmented Large Language Models: Creation and Validation Study. AU - Vladika J AU - Domres A AU - Nguyen M AU - Moser R AU - Nano J AU - Busch F AU - Adams L AU - Bressem KK AU - Bernhardt D AU - Combs SE AU - Borm K AU - Matthes F AU - Peeken JC PY - 2026 JO - Journal of medical Internet research DO - 10.2196/92090 UR - https://doi.org/10.2196/92090 ER -
APA
J, V., A, D., M, N., R, M., J, N., F, B., L, A., KK, B., D, B., SE, C., K, B., F, M., & JC, P. (2026). Improving Reliability and Explainability of Medical Question Answering Through Atomic Fact-Checking in Retrieval-Augmented Large Language Models: Creation and Validation Study.. Journal of medical Internet research. https://doi.org/10.2196/92090
Source records
- pubmed · retrieved 2026-11-10T05:44:23.419Z