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Clinical Informatics (2243) Clinical Information and Decision Making (3675) Digital Health, Telehealth and e-Innovation in Clinical Settings (719) Natural Language Processing (1269) mHealth in a Clinical Setting (1135) Electronic Health Records (1717) Design and Usability of Clinical Software and EHRs (461)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/96347, first published .
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Multilingual Evidence-Based Question-Answering for Stroke Discharge Summaries: Study of Cross-Lingual Heterogeneity in Clinical Reports

Multilingual Evidence-Based Question-Answering for Stroke Discharge Summaries: Study of Cross-Lingual Heterogeneity in Clinical Reports

Authors of this article:

Vojtěch Lanz1 Author Orcid Image ;   Aleksis Datseris2, 3 Author Orcid Image ;   Svetla Boytcheva4 Author Orcid Image ;   Jiří Mayer1 Author Orcid Image ;   Šárka Zikánová1 Author Orcid Image ;   Robert Mikulík5 Author Orcid Image ;   Pavel Pecina1 Author Orcid Image
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Vojtěch Lanz   1 , MSc ;   Aleksis Datseris   2, 3 , MSc ;   Svetla Boytcheva   4 , PhD ;   Jiří Mayer   1 , MSc ;   Šárka Zikánová   1 , PhD ;   Robert Mikulík   5 , MD, PhD ;   Pavel Pecina   1 , PhD

1 Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic

2 Graphwise, Sofia, Bulgaria

3 Computer Informatics, Faculty of Mathematics and Informatics, Sofia University "St. Kliment Ohridski", Sofia, Bulgaria

4 Department of Linguistic Modelling and Knowledge Processing, Faculty of Mathematics and Informatics, Sofia University "St. Kliment Ohridski", Sofia, Bulgaria

5 Health Management Institute, Brno, Czech Republic

Corresponding Author:

  • Vojtěch Lanz, MSc
  • Institute of Formal and Applied Linguistics
  • Faculty of Mathematics and Physics, Charles University
  • Malostranské náměstí 25
  • Prague 118 00
  • Czech Republic
  • Phone: 420 951 554 278
  • Email: lanz@ufal.mff.cuni.cz