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Artificial intelligence in the identification and prediction of adverse transfusion reactions(ATRs) and implications for clinical management: a systematic review of models and applications

Crossref DOI link: https://doi.org/10.1186/s12911-025-03232-z

Published Online: 2025-10-28

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

ShojaeiBaghini, Mahdie https://orcid.org/0000-0002-9857-7347
Ghaemi, Mohammad Mehdi https://orcid.org/0000-0001-6427-2740
Ahmadipour, Alihasan https://orcid.org/0009-0001-8209-9571
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Text and Data Mining valid from 2025-10-28

Version of Record valid from 2025-10-28
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Article History

Received: 23 April 2025

Accepted: 30 September 2025

First Online: 28 October 2025

Declarations

:

: Not applicable.

: Not applicable.

: This study was conducted according to a protocol registered in PROSPERO under the identifier CRD420251019252, which is accessible at .

: The authors declare no competing interests.

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