Marcelle G M Lopes, Steffen M Recktenwald, Greta Simionato, Hermann Eichler, Christian Wagner, Stephan Quint, Lars Kaestner
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Big Data in Transfusion Medicine and Artificial Intelligence Analysis for Red Blood Cell Quality Control.
Background: "Artificial intelligence" and "big data" increasingly take the step from just being interesting concepts to being relevant or even part of our lives. This general statement holds also true for transfusion medicine. Besides all advancements in transfusion medicine, there is not yet an established red blood cell quality measure, which is generally applied.
Summary: We highlight the usefulness of big data in transfusion medicine. Furthermore, we emphasize in the example of quality control of red blood cell units the application of artificial intelligence.
Key messages: A variety of concepts making use of big data and artificial intelligence are readily available but still await to be implemented into any clinical routine. For the quality control of red blood cell units, clinical validation is still required.
期刊介绍：
This journal is devoted to all areas of transfusion medicine. These include the quality and security of blood products, therapy with blood components and plasma derivatives, transfusion-related questions in transplantation, stem cell manipulation, therapeutic and diagnostic problems of homeostasis, immuno-hematological investigations, and legal aspects of the production of blood products as well as hemotherapy. Both comprehensive reviews and primary publications that detail the newest work in transfusion medicine and hemotherapy promote the international exchange of knowledge within these disciplines. Consistent with this goal, continuing clinical education is also specifically addressed.
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