Research map: From prediction to practice: Barriers to implementing artificial intelligence in blood inventory management and transfusion support

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Papers in this map

  1. Smart Platform for Data Blood Bank Management: Forecasting Demand in Blood Supply Chain Using Machine Learning · Walid Ben Elmir · 2023 · 64 citations · Cited by this paper
  2. A rare Gerbich‐negative (Ge:–2,–3,4) phenotype in a Peruvian patient · 2026 · Related
  3. Privacy‐preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine · Na Li · 2024 · 54 citations · Cited by this paper
  4. Incidence and risk factors of passenger lymphocyte syndrome after ABO minor‐incompatible lung transplantation · 2026 · Related
  5. From demand forecasting to inventory ordering decisions for red blood cells through integrating machine learning, statistical modeling, and inventory optimization · Na Li · 2021 · 43 citations · Cited by this paper
  6. Timely geographic access to blood banking facilities: A pan‐India modelling study · 2026 · Related
  7. Machine learning for predicting preoperative red blood cell demand · Yan-Nan Feng · 2021 · 29 citations · Cited by this paper
  8. Early Haemoglobin response after single‐unit red blood cell transfusion predicts repeat transfusion in hospitalised adults: A prospective cohort study and clinical prediction model · 2026 · Related
  9. Blood Demand Forecasting and Supply Management: An Analytical Assessment of Key Studies Utilizing Novel Computational Techniques · Na Li · 2023 · 27 citations · Cited by this paper
  10. Systemic barriers to donation for African, Caribbean and Black communities: A qualitative key informant study · 2026 · Related
  11. From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units · Jeremy Epah · 2022 · 13 citations · Cited by this paper
  12. First‐time red blood cell transfusions in the emergency department: A deficiency in micronutrient testing · 2026 · Related
  13. Application of unsupervised machine learning to identify areas of blood product wastage in transfusion medicine · Richard F. Xiang · 2021 · 10 citations · Cited by this paper
  14. Intravenous immunoglobulin weaning evaluation with zero‐shot large language model classification · 2025 · Related
  15. Explainable haemoglobin deferral predictions using machine learning models: Interpretation and consequences for the blood supply · Marieke Vinkenoog · 2022 · 10 citations · Cited by this paper
  16. Efficacy of the BioBox LAB10 for maintaining temperature and quality of packed red blood cells during in‐hospital storage and transport · 2026 · Related
  17. Artificial intelligence and transfusion education, research and practice: The view from the ISBT Clinical Transfusion Working Party · Arwa Z. Al‐Riyami · 2025 · 8 citations · Cited by this paper
  18. Liberal versus restrictive transfusion in haemato‐oncological patients undergoing autologous stem cell transplantation: A single‐centre experience · 2026 · Related
  19. Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of Opportunistic Screening Into Clinical Practice: Methodological Development Study · Yutong Wen · 2025 · 6 citations · Cited by this paper
  20. First identification and molecular characterisation of a rare D– – donor in Saudi Arabia · 2026 · Related
  21. Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications · Henrique Guimaraes Barbosa Coelho · 2025 · 6 citations · Cited by this paper
  22. Integrating Artificial Intelligence into the Practice of Transfusion Medicine · Shivaram Chandrashekar · 2024 · 4 citations · Cited by this paper
  23. The use of predictive modelling to determine the likelihood of donor return during the COVID ‐19 pandemic · Richard R. Gammon · 2024 · 4 citations · Cited by this paper
  24. Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency · Sheharyar Raza · 2026 · 4 citations · Cited by this paper
  25. Boosting symbiotic organism search algorithm with ecosystem service for dynamic blood allocation in blood banking system · Prinolan Govender · 2021 · 3 citations · Cited by this paper

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