AIMC Topic: Blood Transfusion
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Nano fuzzy alarming system for blood transfusion requirement detection in cancer using deep learning.
Scientific reports
Jul 10, 2024
Periodic blood transfusion is a need in cancer patients in which the disease process as well as the chemotherapy can disrupt the natural production of blood cells. However, there are concerns about blood transfusion side effects, the cost, and the av...
Development and Validation of a Machine Learning Algorithm to Predict the Risk of Blood Transfusion after Total Hip Replacement in Patients with Femoral Neck Fractures: A Multicenter Retrospective Cohort Study.
Orthopaedic surgery
Jul 1, 2024
OBJECTIVE: Total hip arthroplasty (THA) remains the primary treatment option for femoral neck fractures in elderly patients. This study aims to explore the risk factors associated with allogeneic blood transfusion after surgery and to develop a dynam...
Development and validation of machine learning models to predict perioperative transfusion risk for hip fractures in the elderly.
Annals of medicine
Jun 20, 2024
BACKGROUND: Patients with hip fractures frequently need to receive perioperative transfusions of concentrated red blood cells due to preoperative anemia or surgical blood loss. However, the use of perioperative blood products increases the risk of ad...
Development of machine learning models to predict perioperative blood transfusion in hip surgery.
BMC medical informatics and decision making
Jun 5, 2024
BACKGROUND: Allogeneic Blood transfusion is common in hip surgery but is associated with increased morbidity. Accurate prediction of transfusion risk is necessary for minimizing blood product waste and preoperative decision-making. The study aimed to...
Predicting blood transfusion following traumatic injury using machine learning models: A systematic review and narrative synthesis.
The journal of trauma and acute care surgery
May 9, 2024
BACKGROUND: Hemorrhage is a leading cause of preventable death in trauma. Accurately predicting a patient's blood transfusion requirement is essential but can be difficult. Machine learning (ML) is a field of artificial intelligence that is emerging ...
Use of an Artificial Intelligence Device for Evaluating Blood Loss in Complex Major Orthopaedic Surgery Procedures.
The Journal of arthroplasty
May 3, 2024
BACKGROUND: An artificial intelligence algorithm that analyzes the pulse oximeter waveform in the fingertip can be used to determine the compensatory reserve index (CRI) in trauma patients. This measurement shows the remaining cardiovascular capacity...
Single-Port Multiport Robot-Assisted Partial Nephrectomy: A Meta-Analysis.
Journal of endourology
Feb 13, 2024
Several centers have reported their experience with single-port robot-assisted partial nephrectomy (SP-RAPN); however, it is uncertain if utilization of this platform represents an improvement in outcomes compared to multiport robot-assisted partial...
Machine learning in the prediction of massive transfusion in trauma: a retrospective analysis as a proof-of-concept.
European journal of trauma and emergency surgery : official publication of the European Trauma Society
Jan 24, 2024
PURPOSE: Early administration and protocolization of massive hemorrhage protocols (MHP) has been associated with decreases in mortality, multiorgan system failure, and number of blood products used. Various prediction tools have been developed for th...
Prediction of Transfusion among In-patient Population using Temporal Pattern based Clinical Similarity Graphs.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
Intelligent prediction of risk of blood transfusion among hospitalized patients can identify at-risk patients and provide timely information to the hospital to plan and reserve resources to meet the demand of blood transfusion. While previously propo...
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...
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