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Peer-reviewedCC BYMicroorganisms

Validation, Calibration and Transparency, More than Accuracy: An Appraisal of Artificial Intelligence Against Antimicrobial Resistance and a Sustainable, Testable Diagnostic Architecture

  1. 1Department of Obstetrics and Gynecology, Faculty of Health and Sport Science, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary; (V.G.-O.); (D.S.); (C.D.); (P.T.M.)
  2. 2S.O.S. 24 Kft., Kormányos utca 5, 6725 Szeged, Hungary;
  3. 3Department of Obstetrics and Gynecology, Faculty of Medicine, University of Szeged, Semmelweis utca 1, 6725 Szeged, Hungary;

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BibTeX
@article{gulyasoldal2026validation,
  title = {{Validation, Calibration and Transparency, More than Accuracy: An Appraisal of Artificial Intelligence Against Antimicrobial Resistance and a Sustainable, Testable Diagnostic Architecture}},
  author = {Viktor Gulyás-Oldal and Imre Gálóczi and Ekaterine Paschali and Dániel Sallai and Csilla Dézsi and Péter Tamás Mészáros and Dezső Virok and Szabolcs Várbíró and Sándor Nagy and Károly Szili},
  journal = {Microorganisms},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13707508},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Validation, Calibration and Transparency, More than Accuracy: An Appraisal of Artificial Intelligence Against Antimicrobial Resistance and a Sustainable, Testable Diagnostic Architecture
AU  - Viktor Gulyás-Oldal
AU  - Imre Gálóczi
AU  - Ekaterine Paschali
AU  - Dániel Sallai
AU  - Csilla Dézsi
AU  - Péter Tamás Mészáros
AU  - Dezső Virok
AU  - Szabolcs Várbíró
AU  - Sándor Nagy
AU  - Károly Szili
PY  - 2026
DA  - 2026/09/23
JO  - Microorganisms
UR  - https://europepmc.org/article/PMC/PMC13707508
SN  - 2076-2607
ER  -