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Peer-reviewedCC BYPatterns (New York, N.Y.)

Retrieval-augmented reasoning reshapes collective reliability in text-based radiology question answering

  1. 1Lab for AI in Medicine, RWTH Aachen University, Aachen, Germany
  2. 2Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
  3. 3Department of Diagnostic and Interventional Radiology, TUM University Klinikum, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany

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BibTeX
@article{farajiamiri2026retrievalaugmented,
  title = {{Retrieval-augmented reasoning reshapes collective reliability in text-based radiology question answering}},
  author = {Mina Farajiamiri and Jeta Sopa and Saba Afza and Lisa Adams and Felix Barajas Ordonez and Tri-Thien Nguyen and Mahshad Lotfinia and Sebastian Wind and Keno Bressem and Sven Nebelung and Daniel Truhn and Soroosh Tayebi Arasteh},
  journal = {Patterns (New York, N.Y.)},
  year = {2026},
  month = aug,
  url = {https://europepmc.org/article/PMC/PMC13674304},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Retrieval-augmented reasoning reshapes collective reliability in text-based radiology question answering
AU  - Mina Farajiamiri
AU  - Jeta Sopa
AU  - Saba Afza
AU  - Lisa Adams
AU  - Felix Barajas Ordonez
AU  - Tri-Thien Nguyen
AU  - Mahshad Lotfinia
AU  - Sebastian Wind
AU  - Keno Bressem
AU  - Sven Nebelung
AU  - Daniel Truhn
AU  - Soroosh Tayebi Arasteh
PY  - 2026
DA  - 2026/08/19
JO  - Patterns (New York, N.Y.)
UR  - https://europepmc.org/article/PMC/PMC13674304
SN  - 2666-3899
ER  -