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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319094PMC
http://dx.doi.org/10.1159/000530458DOI Listing

Publication Analysis

Top Keywords

transfusion medicine
16
red blood
16
blood cell
16
big data
12
quality control
12
data transfusion
8
artificial intelligence
8
cell quality
8
control red
8
cell units
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!