AIMC Topic: Blood Transfusion

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Machine learning for predicting preoperative red blood cell demand.

Transfusion medicine (Oxford, England) May 24, 2021
BACKGROUND: The paucity of accurate quantitative standards for determining the quantity of red blood cells (RBCs) needed for perioperative patients and the predominant application of the "preoperative hemoglobin + surgery type" empirical decision-mak...
Artificial Intelligence Machine Learning Retrospective Studies Blood Transfusion Erythrocytes Humans
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Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning.

The Journal of surgical research Mar 27, 2021
BACKGROUND: There is a growing need to identify which bits of information are most valuable for healthcare providers. The aim of this study was to search for the highest impact variables in predicting postsurgery length of stay (LOS) for patients who...
Predictive Value of Tests Coronary Artery Disease Creatinine Linear Models Postoperative Complications Length of Stay Blood Loss, Surgical Blood Transfusion Machine Learning Preoperative Period Forecasting Coronary Artery Bypass Databases, Factual Intraoperative Care Female Male Middle Aged Risk Factors Humans Risk Assessment Aged
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Machine learning-based prediction of transfusion.

Transfusion Jun 28, 2020
BACKGROUND: The ability to predict transfusions arising during hospital admission might enable economized blood supply management and might furthermore increase patient safety by ensuring a sufficient stock of red blood cells (RBCs) for a specific pa...
Humans Machine Learning Retrospective Studies Female Predictive Value of Tests Hospitalization Western Australia Adult Decision Making, Computer-Assisted Male Blood Transfusion
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Editorial Comment.

The Journal of urology Apr 23, 2020
Nephrectomy Kidney Blood Transfusion Robotics Propensity Score
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Vessel and Tension-Free Reconstruction During Robot-Assisted Partial Nephrectomy for Hilar Tumors: "Garland" Technique and Midterm Outcomes.

Journal of endourology Mar 6, 2020
Robot-assisted partial nephrectomy (RAPN) is increasingly applied to renal hilar tumors. The present study aims to introduce our vessel and tension-free reconstruction technique and discuss the perioperative, functional, and midterm oncologic outcom...
Robotic Surgical Procedures Neoplasm Recurrence, Local Kidney Neoplasms Nephrectomy Treatment Outcome Glomerular Filtration Rate Blood Transfusion Robotics Humans Retrospective Studies
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Prediction of perioperative transfusions using an artificial neural network.

PloS one Feb 24, 2020
BACKGROUND: Accurate prediction of operative transfusions is essential for resource allocation and identifying patients at risk of postoperative adverse events. This research examines the efficacy of using artificial neural networks (ANNs) to predict...
Sensitivity and Specificity Male Age Factors Blood Transfusion Perioperative Care Postoperative Hemorrhage Sex Factors Computer Simulation Prognosis Female Risk Factors Humans Neural Networks, Computer Machine Learning Databases, Factual
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Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.

Gastroenterology Sep 25, 2019
BACKGROUND & AIMS: Scoring systems are suboptimal for determining risk in patients with upper gastrointestinal bleeding (UGIB); these might be improved by a machine learning model. We used machine learning to develop a model to calculate the risk of ...
Male Models, Biological Female Middle Aged Gastrointestinal Hemorrhage Humans Hemostatic Techniques Aged Risk Assessment Blood Transfusion Machine Learning Aged, 80 and over Emergency Service, Hospital ROC Curve Adult Prognosis
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Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.

Journal of shoulder and elbow surgery Aug 3, 2019
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder arthroplasty (TSA) than comorbidity indices.
Blood Transfusion Operative Time Predictive Value of Tests Supervised Machine Learning Smoking Reoperation Serum Albumin Hematocrit Humans Arthroplasty, Replacement, Shoulder Patient Readmission Length of Stay Forecasting ROC Curve Databases, Factual Male Body Mass Index Female Age Factors Middle Aged Aged Postoperative Complications Comorbidity
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An artificial intelligence-based clinical decision support system for large kidney stone treatment.

Australasian physical & engineering sciences in medicine Jul 22, 2019
A decision support system (DSS) was developed to predict postoperative outcome of a kidney stone treatment procedure, particularly percutaneous nephrolithotomy (PCNL). The system can serve as a promising tool to provide counseling before an operation...
Treatment Outcome Blood Transfusion Humans Nephrolithotomy, Percutaneous Stents Female Artificial Intelligence Kidney Calculi Male Machine Learning Middle Aged Algorithms Decision Support Systems, Clinical
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Predictors of blood transfusion use in robotic beating-heart totally endoscopic coronary artery bypass with anastomotic connectors.

Journal of cardiac surgery Jul 3, 2019
BACKGROUND: We sought to identify the independent predictors of blood transfusion requirement in robotic beating-heart patients with totally endoscopic coronary artery bypass (TECAB).
Treatment Outcome Prognosis Operative Time Follow-Up Studies Humans Aged Blood Loss, Surgical Endoscopy Retrospective Studies Robotics Blood Transfusion Male Female Coronary Artery Disease Middle Aged Coronary Artery Bypass
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