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

Abstract Background Despite advances in patient safety, adverse transfusion reactions (ATRs) continue to occur in clinical settings and remain a primary focus of hospital hemovigilance committees. Artificial intelligence (AI) has emerged as a promising tool for detecting and preventing these complic...

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Detaylı Bibliyografya

Asıl Yazarlar:	Mahdie ShojaeiBaghini, Mohammad Mehdi Ghaemi, Alihasan Ahmadipour
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2025-10-01
Seri Bilgileri:	BMC Medical Informatics and Decision Making
Konular:	Adverse effects Adverse transfusion reactions (ATRs) Artificial intelligence (AI) Blood transfusion Hemovigilance Patient safety
Online Erişim:	https://doi.org/10.1186/s12911-025-03232-z
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