Fundamentals of big data and artificial intelligence in transfusion medicine
Artificial intelligence offers a roadmap to modernize blood banks—improving donor management, safety, and compatibility testing for better transfusions.
This comprehensive review outlines how AI and big data can modernize transfusion medicine, covering donor management, precision red blood cell diagnostics via lab-on-a-chip, digital crossmatching, and FHIR-based data integration. The authors propose a roadmap for blood establishments as federated big-data engines while noting challenges in privacy, scalability, and clinical translation.
What the study was
- Study design
- Narrative/comprehensive review
- Population
- Transfusion medicine / blood establishment populations
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Vox Sanguinis
Why it surfaced
Review article on AI in transfusion medicine — relevant to hematology diagnostics watchlist but review-level evidence; lower novelty and design quality caps score.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.