aceResearch and application of machine learning models based on multimodal big data for precise transfusion management in acute myeloid leukaemia
Acute myeloid leukaemia (AML) is a highly heterogeneous haematologic malignancy in which transfusion support represents an essential component of comprehensive patient care. This review aims to provide an updated synthesis of recent progress in the development and clinical application of machine learning models based on multimodal big data for precision transfusion management in AML, addressing the persistent limitations of conventional, empirically guided transfusion practices. We systematically reviewed the li…
Machine learning models integrating multimodal big data improved precision transfusion management for AML patients by predicting transfusion demand and assessing transfusion reaction risks.
Deployment of multimodal machine learning for AML transfusion management is limited by data privacy protection, data standardisation across platforms, and model interpretability for clinical adoption.
Clinical adoption is constrained by unresolved issues of data privacy protection, cross-platform data standardisation, and model interpretability.
Evidence
- Peer-reviewedTransfusion Medicine2026-07-24
How should this claim be treated?
Truvace Impact Record TRV-2026-0577, v1: “Research and application of machine learning models based on multimodal big data for precise transfusion management in acute myeloid leukaemia.” Truvace, 2026-07-27. /record/TRV-2026-0577 (accessed at citation time). sha256 7c9ed7434155e4e4…
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