دورية أكاديمية
أعرض في EDS

Big Data in Transfusion Medicine and Artificial Intelligence Analysis for Red Blood Cell Quality Control.

التفاصيل البيبلوغرافية
العنوان: Big Data in Transfusion Medicine and Artificial Intelligence Analysis for Red Blood Cell Quality Control.
المؤلفون: Lopes MGM; Experimental Physics, Saarland University, Saarbrücken, Germany.; Cysmic GmbH, Saarbrücken, Germany., Recktenwald SM; Experimental Physics, Saarland University, Saarbrücken, Germany., Simionato G; Experimental Physics, Saarland University, Saarbrücken, Germany.; Institute for Clinical and Experimental Surgery, Saarland University, Saarbrücken, Germany., Eichler H; Institute of Clinical Hemostaseology and Transfusion Medicine, Saarland University, Saarbrücken, Germany., Wagner C; Experimental Physics, Saarland University, Saarbrücken, Germany.; Physics and Materials Science Research Unit, University of Luxembourg, Luxembourg City, Luxembourg., Quint S; Cysmic GmbH, Saarbrücken, Germany., Kaestner L; Experimental Physics, Saarland University, Saarbrücken, Germany.; Theoretical Medicine and Biosciences, Saarland University, Saarbrücken, Germany.
المصدر: Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie [Transfus Med Hemother] 2023 May 25; Vol. 50 (3), pp. 163-173. Date of Electronic Publication: 2023 May 25 (Print Publication: 2023).
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: S. Karger Country of Publication: Switzerland NLM ID: 101176417 Publication Model: eCollection Cited Medium: Print ISSN: 1660-3796 (Print) Linking ISSN: 16603796 NLM ISO Abbreviation: Transfus Med Hemother Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Basel ; New York : S. Karger, c2003-
مستخلص: 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.
Competing Interests: M.L. and S.Q. are employees of Cysmic GmbH, the manufacturer of Erysense, used for data generation presented in this study. In addition, S.R., G.S., S.Q., and L.K. are shareholders of Cysmic GmbH. H.E. and C.W. have no conflicts of interest to declare.
(© 2023 The Author(s). Published by S. Karger AG, Basel.)
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فهرسة مساهمة: Keywords: Erysense; Personalized transfusion; Red blood cell quality; Storage lesion
تواريخ الأحداث: Date Created: 20230706 Latest Revision: 20230718
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC10319094
DOI: 10.1159/000530458
PMID: 37408647
قاعدة البيانات: MEDLINE
الوصف
تدمد:1660-3796
DOI:10.1159/000530458