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
- 2026-09-21
- Container
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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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 = {Juraj Vladika and Annika Domres and Mai Nguyen and Rebecca Moser and Jana Nano and Felix Busch and Lisa Adams and Keno K Bressem and Denise Bernhardt and Stephanie E Combs and Kai Borm and Florian Matthes and Jan C Peeken},
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 - Juraj Vladika AU - Annika Domres AU - Mai Nguyen AU - Rebecca Moser AU - Jana Nano AU - Felix Busch AU - Lisa Adams AU - Keno K Bressem AU - Denise Bernhardt AU - Stephanie E Combs AU - Kai Borm AU - Florian Matthes AU - Jan C Peeken PY - 2026 JO - Journal of Medical Internet Research DO - 10.2196/92090 UR - https://doi.org/10.2196/92090 ER -
APA
Vladika, J., Domres, A., Nguyen, M., Moser, R., Nano, J., Busch, F., Adams, L., Bressem, K. K., Bernhardt, D., Combs, S. E., Borm, K., Matthes, F., & Peeken, J. C. (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
- crossref · retrieved 2026-09-24T22:27:56.097Z