AIMC Topic: Blood Component Transfusion

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Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Statistical techniques such as propensity score matching and instrumental variable are commonly employed to "simulate" randomization and adjust for measured confounders in comparative effectiveness research. Despite such adjustments, the results of t...
Humans Machine Learning Risk Factors Postoperative Complications Logistic Models Precision Medicine Retrospective Studies Blood Component Transfusion International Normalized Ratio Surgical Procedures, Operative Plasma Blood Loss, Surgical Cluster Analysis
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Change in liver, spleen and bone marrow magnetic resonance imaging signal intensity over time in children with solid abdominal tumors.

Pediatric radiology Dec 19, 2017
BACKGROUND: Reticuloendothelial system MRI signal hypointensity is common in pediatric oncology patients with solid abdominal tumors.
Abdominal Neoplasms Child, Preschool Blood Component Transfusion Spleen Liver Neoplasms Hepatoblastoma Ganglioneuroblastoma Female Neuroblastoma Bone Marrow Wilms Tumor Magnetic Resonance Imaging Humans Male Retrospective Studies Kidney Neoplasms
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Plasma Transfusion in Patients With Cirrhosis in China: A Retrospective Multicenter Cohort Study.

Transfusion medicine reviews Dec 2, 2016
Patients with cirrhosis used to be associated with frequent use of blood components because of their complex disorder of hemostasis and bleeding complications. Recent findings have indicated that patients with cirrhosis have a state of "rebalanced" o...
Liver Cirrhosis Tertiary Care Centers Blood Component Transfusion Blood Coagulation Disorders Middle Aged Comorbidity Humans China Retrospective Studies Adult Female Male
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Statistical Machines for Trauma Hospital Outcomes Research: Application to the PRospective, Observational, Multi-Center Major Trauma Transfusion (PROMMTT) Study.

PloS one Aug 21, 2015
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and public health interest. This analysis introduces flexible statistical methods for estimating center-level effects on individual outcomes in the context of...
Trauma Centers Injury Severity Score Blood Component Transfusion Hospital Mortality Multiple Trauma Survival Analysis Hemorrhage Outcome Assessment, Health Care Male Middle Aged Female Adult Machine Learning Humans Prospective Studies
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Spotlights on novel strategic innovations on the artificial intelligence and deep learning driven quality control focuses in transfusion medicine, to optimize blood component safety and efficacy and minimize the potential pitfalls.

Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis Jun 1, 2025
Artificial intelligence (AI) combined with human intelligent, and machine learning (ML) are transforming quality control (QC) in transfusion medicine, enhancing efficiency, accuracy, and transfusion clinical safety. Traditional QC methods require ext...
Humans Blood Safety Transfusion Medicine Blood Transfusion Artificial Intelligence Quality Control Blood Component Transfusion Deep Learning
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Dynamic impact of transfusion ratios on outcomes in severely injured patients: Targeted machine learning analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios randomized clinical trial.

The journal of trauma and acute care surgery Sep 1, 2020
BACKGROUND: Massive transfusion protocols to treat postinjury hemorrhage are based on predefined blood product transfusion ratios followed by goal-directed transfusion based on patient's clinical evolution. However, it remains unclear how these trans...
Blood Platelets Plasma Blood Component Transfusion Hemorrhage Erythrocytes North America Trauma Centers Intention to Treat Analysis Wounds and Injuries Humans Hemostasis Female Machine Learning Male
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