ReviewTransfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie2023
Big Data in Transfusion Medicine and Artificial Intelligence Analysis for Red Blood Cell Quality Control.
Review in Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The trial behind it
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Who cites it
15 citing papers in PubMed.
- Comparative Evaluation of Two Image-Analysis Software Platforms for Microfluidic Assessment of Red Blood Cell Deformability in Chronic Lymphocytic Leukemia.Micromachines · 2026Article
- Novel method for trend change detection and hypothesis generation in hemovigilance: A transfusion-related immunomodulation and blood production changes study.Transfusion · 2026Article
- Microfluidic Chip Platforms for Red Blood Cell Storage Lesion Quality Control and Precision Transfusion.Research (Washington, D.C.) · 2026Review
- AI-Driven Innovations in Transfusion Medicine: A Narrative Synthesis of Current Reviews.Medical sciences (Basel, Switzerland) · 2025Review
- Evaluation of Six Large Language Models for Clinical Decision Support: Application in Transfusion Decision-making for RhD Blood-type Patients.Annals of laboratory medicine · 2025Article
- AI Applications in Transfusion Medicine: Opportunities, Challenges, and Future Directions.Acta haematologica · 2025Review
- Translatable tool to quantitatively assess the quality of red blood cell units and tailored cultured red blood cells for transfusion.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Advances in Red Blood Cells Research.Cells · 2024Article
- The Putative Role of the Transient Receptor Potential Ion Channel of Vanilloid Type 2 in Red Blood Cell Storage Lesions.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2024Article
- Osmotic gradient ektacytometry - a novel diagnostic approach for neuroacanthocytosis syndromes.Frontiers in neuroscience · 2024Article
- Article
- Omics and Machine Learning in Transfusion Medicine.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023Article
- Editorial: Images from red cells, Volume II.Frontiers in physiology · 2023Article
- Artificial intelligence in hemovigilance: A narrative review on advancing blood safety and monitoring systems.Digital healthReview
- Artificial Intelligence in transfusion medicine: a paradigm shift on the horizon.Blood transfusion = Trasfusione del sangueArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.