An explainable artificial intelligence framework for clinical decision support in stroke discharge planning

Seifollah Gholampour, Arshia Dehghan, Evelyn B. Voura, Jesse Huang, Mohammad Jamshidi, George W. Koutsouras

Open source

DOI: 10.1371/journal.pone.0353683
Published: 2026-07-15
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0353683,
  title = {An explainable artificial intelligence framework for clinical decision support in stroke discharge planning},
  author = {Seifollah Gholampour and Arshia Dehghan and Evelyn B. Voura and Jesse Huang and Mohammad Jamshidi and George W. Koutsouras},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0353683},
  url = {https://doi.org/10.1371/journal.pone.0353683}
}

RIS

TY  - JOUR
TI  - An explainable artificial intelligence framework for clinical decision support in stroke discharge planning
AU  - Seifollah Gholampour
AU  - Arshia Dehghan
AU  - Evelyn B. Voura
AU  - Jesse Huang
AU  - Mohammad Jamshidi
AU  - George W. Koutsouras
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0353683
UR  - https://doi.org/10.1371/journal.pone.0353683
ER  -

APA

Gholampour, S., Dehghan, A., Voura, E. B., Huang, J., Jamshidi, M., & Koutsouras, G. W. (2026). An explainable artificial intelligence framework for clinical decision support in stroke discharge planning. PLOS One. https://doi.org/10.1371/journal.pone.0353683

Source records

crossref · retrieved 2026-09-25T08:06:35.420Z