AIMC Topic: Erythrocyte Transfusion
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Machine learning-based prediction of bleeding risk in extracorporeal membrane oxygenation patients using transfusion as a surrogate marker.
Transfusion
Apr 25, 2025
BACKGROUND: The increasing use of extracorporeal membrane oxygenation (ECMO) has highlighted challenges in managing bleeding complications. Optimal transfusion strategies remain uncertain for this diverse patient group, necessitating accurate predict...
An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery.
BMC anesthesiology
Dec 19, 2024
AIM: The study aimed to develop a predictive model with machine learning (ML) algorithm, to predict and manage the need for red blood cell (RBC) transfusion during hip fracture surgery.
Optimizing anemia management using artificial intelligence for patients undergoing hemodialysis.
Scientific reports
Nov 5, 2024
Patients with end-stage kidney disease (ESKD) frequently experience anemia, and maintaining hemoglobin (Hb) levels within a targeted range using erythropoiesis-stimulating agents (ESAs) is challenging. This study introduces a gated recurrent unit-att...
Development, validation, and usability evaluation of machine learning algorithms for predicting personalized red blood cell demand among thoracic surgery patients.
International journal of medical informatics
Jul 18, 2024
INTRODUCTION: Preparing appropriate red blood cells (RBCs) before surgery is crucial for improving both the efficacy of perioperative workflow and patient safety. In particular, thoracic surgery (TS) is a procedure that requires massive transfusion w...
Development of a machine learning approach for prediction of red blood cell transfusion in patients undergoing Cesarean section at a single institution.
Scientific reports
Jul 18, 2024
Despite recent advances in surgical techniques and perinatal management in obstetrics for reducing intraoperative bleeding, blood transfusion may occur during a cesarean section (CS). This study aims to identify machine learning models with an optima...
A precise blood transfusion evaluation model for aortic surgery: a single-center retrospective study.
Journal of clinical monitoring and computing
Dec 27, 2023
Cardiac aortic surgery is an extremely complicated procedure that often requires large volume blood transfusions during the operation. Currently, it is not possible to accurately estimate the intraoperative blood transfusion volume before surgery. Th...
How do I/we forecast tomorrow's transfusion? A focus on recipients' profiles.
Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine
Sep 13, 2022
Red blood cell (RBC) transfusion is a life-saving medical intervention and has an essential role in the management of surgical patients. However, blood donations and supply levels are decreasing, therefore there is an unmet need for the accurate pred...
Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit.
Scientific reports
Apr 23, 2021
Acute gastrointestinal bleeding is the most common gastrointestinal cause for hospitalization. For high-risk patients requiring intensive care unit stay, predicting transfusion needs during the first 24 h using dynamic risk assessment may improve res...
Editor's notes.
Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis
May 9, 2018
Validation of a definition of excessive postoperative bleeding in infants undergoing cardiac surgery with cardiopulmonary bypass.
The Journal of thoracic and cardiovascular surgery
Dec 13, 2017
OBJECTIVE: To derive and validate an objective definition of postoperative bleeding in neonates and infants undergoing cardiac surgery with cardiopulmonary bypass.
Reoperation
Erythrocyte Transfusion
Infant
Infant, Newborn
Treatment Outcome
Drainage
Cardiac Surgical Procedures
Length of Stay
Humans
Risk Factors
Cardiopulmonary Bypass
Male
Patient Readmission
Prospective Studies
Terminology as Topic
Risk Assessment
Retrospective Studies
Age Factors
Female
Time Factors
Hospital Mortality
Postoperative Hemorrhage
Chest Tubes
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