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Transfusion after total knee arthroplasty can be predicted using the machine learning algorithm

https://doi.org/10.1007/s00167-019-05602-3
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00167-018-5333-4openalex-snapshot
The use of bisphosphonates after joint arthroplasty is associated with lower implant revision rate
inferredcites →https://doi.org/10.1007/s00402-015-2168-zopenalex-snapshot
Single dose intravenous tranexamic acid as effective as continuous infusion in primary total knee arthroplasty: a randomised clinical trial
inferredcites →https://doi.org/10.1016/j.arth.2005.12.002openalex-snapshot
Preoperative Epoetin Alfa vs Autologous Blood Donation in Primary Total Knee Arthroplasty
inferredcites →https://doi.org/10.1016/j.arth.2014.03.048openalex-snapshot
Predictors and Complications of Blood Transfusion in Total Hip and Knee Arthroplasty
inferredcites →https://doi.org/10.1016/j.arth.2016.02.081openalex-snapshot
The James A. Rand Young Investigator's Award: A Randomized Controlled Trial of Oral and Intravenous Tranexamic Acid in Total Knee Arthroplasty: The Same Efficacy at Lower Cost?
inferredcites →https://doi.org/10.1016/j.arth.2017.12.014openalex-snapshot
Are Allogeneic Transfusions Decreasing in Total Knee Arthroplasty Patients? National Inpatient Sample 2009-2013
inferredcites →https://doi.org/10.1016/j.arth.2018.08.007openalex-snapshot
Contemporary Blood Conservation in Hip and Knee Arthroplasty: Tranexamic Acid is an Important Piece of the Puzzle!
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Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
inferredcites →https://doi.org/10.1080/17453674.2016.1181817openalex-snapshot
Outcomes of unilateral and bilateral total knee arthroplasty in 238,373 patients
inferredcites →https://doi.org/10.1093/rheumatology/kem308openalex-snapshot
The epidemiology of total knee replacement in South Korea: national registry data
inferredcites →https://doi.org/10.1097/aln.0b013e3181e08e97openalex-snapshot
Anemia and Patient Blood Management in Hip and Knee Surgery
inferredcites →https://doi.org/10.1126/science.aaa8415openalex-snapshot
Machine learning: Trends, perspectives, and prospects
inferredcites →https://doi.org/10.2106/jbjs.17.00237openalex-snapshot
Perioperative Allogeneic Red Blood-Cell Transfusion Associated with Surgical Site Infection After Total Hip and Knee Arthroplasty
inferredcites →https://doi.org/10.2106/jbjs.17.00641openalex-snapshot
One Dose of Intravenous Tranexamic Acid Is Equivalent to Two Doses in Total Hip and Knee Arthroplasty
inferredcites →https://doi.org/10.2106/jbjs.k.00873openalex-snapshot
Effectiveness and Safety of Tranexamic Acid in Reducing Blood Loss in Total Knee Arthroplasty
inferredcites →https://doi.org/10.2106/jbjs.l.00907openalex-snapshot
Topical (Intra-Articular) Tranexamic Acid Reduces Blood Loss and Transfusion Rates Following Total Knee Replacement
inferredcites →https://doi.org/10.2106/jbjs.l.00908openalex-snapshot
Topical (Intra-Articular) Tranexamic Acid Reduces Blood Loss and Transfusion Rates Following Total Hip Replacement
inferredcites →https://doi.org/10.2106/jbjs.l.01041openalex-snapshot
Impact of Perioperative Allogeneic and Autologous Blood Transfusion on Acute Wound Infection Following Total Knee and Total Hip Arthroplasty
inferredcites →https://doi.org/10.2106/jbjs.l.01268openalex-snapshot
Allogeneic Blood Transfusions and Postoperative Infections After Total Hip or Knee Arthroplasty
inferredcites →https://doi.org/10.2106/jbjs.l.01335openalex-snapshot
Predictors of Perioperative Blood Loss in Total Joint Arthroplasty
inferredcites →https://doi.org/10.2106/jbjs.n.00077openalex-snapshot
Blood Transfusion in Primary Total Hip and Knee Arthroplasty. Incidence, Risk Factors, and Thirty-Day Complication Rates
inferredcites →https://doi.org/10.3109/17453679808997781openalex-snapshot
Postoperative drainage of knee arthroplasty is not necessary: A randomized study of 90 patients
inferredcites →https://doi.org/10.4055/jkoa.2018.53.2.152openalex-snapshot
Comparison of Blood Loss between Intra-Articular and Intravenous Tranexamic Acid Following Primary Total Knee Arthroplasty
inferredcites →https://doi.org/10.5792/ksrr.2016.28.3.201openalex-snapshot
Effect of Closed Suction Drain on Blood Loss and Transfusion Rates in Simultaneous Bilateral Total Knee Arthroplasty: A Prospective Randomized Study
inferredcites →https://doi.org/10.7326/0003-4819-135-1-200107030-00043openalex-snapshot
Interpretation of Diagnostic Tests

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.5622743openalex-extracted
Prediction Of Transfusion Based On Machine Learning
inferred← citeshttps://doi.org/10.1002/ksa.70480openalex-snapshot
Joint‐specific measures improve risk adjustment in total knee arthroplasty: A machine learning approach
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Artificial Intelligence, Deep Learning, and Machine Learning Applications in Total Knee Arthroplasty
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Bedeutung von künstlicher Intelligenz für die Risikoerkennung vor chirurgischen Eingriffen
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A web‐based machine‐learning algorithm predicting postoperative acute kidney injury after total knee arthroplasty
inferred← citeshttps://doi.org/10.1007/s00167-020-06418-2openalex-snapshot
Machine‐learning algorithm that can improve the diagnostic accuracy of septic arthritis of the knee
inferred← citeshttps://doi.org/10.1007/s00167-021-06848-6openalex-snapshot
Machine learning in knee arthroplasty: specific data are key—a systematic review
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Prediction of complications and surgery duration in primary TKA with high accuracy using machine learning with arthroplasty‐specific data
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Moving beyond radiographic alignment: applying the Wald Principles in the adoption of robotic total knee arthroplasty
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Impact of intra- and extramedullary alignment on blood loss in total knee arthroplasty: a retrospective study
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AI in Transfusion Medicine: A Scoping Review with Bibliography
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Limitations in Transitioning from Conventional to Modern Total Knee Arthroplasty: A Review
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Vorhersage von irregulären Operationsdauern bei Knietotalendoprothesen mit Daten aus dem Endoprothesenregister Deutschland und EndoCert
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Endoprothetik im Wandel: die Rolle der künstlichen Intelligenz
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Overview of Artificial Intelligence Research Within Hip and Knee Arthroplasty
inferred← citeshttps://doi.org/10.1016/j.arth.2022.02.072openalex-snapshot
Avoiding Femoral Canal Instrumentation in Computer-Assisted Total Knee Arthroplasty With Contemporary Blood Management Had Minimal Differences in Blood Loss and Transfusion Rates Compared to Conventional Techniques
inferred← citeshttps://doi.org/10.1016/j.arth.2022.10.039openalex-snapshot
The Impact of Machine Learning on Total Joint Arthroplasty Patient Outcomes: A Systemic Review
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Machine learning model identifies patient gait speed throughout the episode of care, generating notifications for clinician evaluation
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Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery
inferred← citeshttps://doi.org/10.1016/j.jor.2022.03.006openalex-snapshot
Predictive capacity of four machine learning models for in-hospital postoperative outcomes following total knee arthroplasty
inferred← citeshttps://doi.org/10.1016/j.jor.2025.08.038openalex-snapshot
Machine Learning–Based prediction of complications and residual pain after total knee arthroplasty
inferred← citeshttps://doi.org/10.1016/j.knee.2025.02.014openalex-snapshot
Artificial intelligence and machine learning in knee arthroplasty
inferred← citeshttps://doi.org/10.1016/j.otsr.2024.103985openalex-snapshot
Prediction of transfusion risk after total knee arthroplasty: use of a machine learning algorithm
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Artificial intelligence in hip and knee surgery: a bibliometric analysis of the 50 most cited articles
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Prédiction du risque de transfusion après arthroplastie totale de genou : utilisation d’un algorithme de machine learning
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inferred← citeshttps://doi.org/10.1038/s41598-022-08137-9openalex-snapshot
Effect of severity and cause of preoperative anemia on the transfusion rate after total knee arthroplasty
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Machine learning for the prediction of blood transfusion risk during or after mitral valve surgery: a multicenter retrospective cohort study
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Artificial intelligence in planned orthopaedic care
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The Use of Artificial Intelligence for the Prediction of Periprosthetic Joint Infection Following Aseptic Revision Total Knee Arthroplasty
inferred← citeshttps://doi.org/10.1080/07853890.2025.2610097openalex-snapshot
Risk prediction models for blood transfusion in patients undergoing total hip and knee arthroplasty: a systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1080/17453674.2021.1910448openalex-snapshot
Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review
inferred← citeshttps://doi.org/10.1080/17474086.2025.2570336openalex-snapshot
Current trends and future artificial intelligence applications in transfusion medicine: a bibliometric analysis
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Quantifying Patellofemoral Instability in a Sea of Metrics
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Machine learning in transfusion medicine: A scoping review
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Application of unsupervised machine learning to identify areas of blood product wastage in transfusion medicine
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Automated Risk Stratification of Hip Osteoarthritis Development in Patients With Femoroacetabular Impingement Using an Unsupervised Clustering Algorithm: A Study From the Rochester Epidemiology Project
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Advancements in Artificial Intelligence for Foot and Ankle Surgery: A Systematic Review
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Low muscle mass is an independent risk factor for postoperative blood transfusion in total knee arthroplasty: a retrospective, propensity score-matched cohort study
inferred← citeshttps://doi.org/10.1186/s12888-022-04067-yopenalex-snapshot
A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records
inferred← citeshttps://doi.org/10.1186/s12891-020-03328-9openalex-snapshot
Development and validation of a nomogram to predict perioperative blood transfusion in patients undergoing total knee arthroplasty
inferred← citeshttps://doi.org/10.1186/s12891-024-07441-xopenalex-snapshot
Factors to improve odds of success following medial opening-wedge high tibial osteotomy: a machine learning analysis
inferred← citeshttps://doi.org/10.1186/s12891-024-07516-9openalex-snapshot
Artificial intelligence in total and unicompartmental knee arthroplasty
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Clinical prediction models for postoperative blood transfusion after total knee arthroplasty: a systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1186/s12911-024-02729-3openalex-snapshot
Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review
inferred← citeshttps://doi.org/10.1186/s42836-021-00095-3openalex-snapshot
Artificial intelligence in arthroplasty
inferred← citeshttps://doi.org/10.1186/s42836-022-00112-zopenalex-snapshot
Artificial intelligence in orthopedic surgery: evolution, current state and future directions
inferred← citeshttps://doi.org/10.1186/s42836-022-00119-6openalex-snapshot
Artificial intelligence in knee arthroplasty: current concept of the available clinical applications
inferred← citeshttps://doi.org/10.1186/s42836-023-00189-0openalex-snapshot
A role for artificial intelligence applications inside and outside of the operating theatre: a review of contemporary use associated with total knee arthroplasty
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Artificial intelligence in total knee arthroplasty: clinical applications and implications
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Artificial intelligence in orthopedics: current applications, challenges, and future directions
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Machine Learning to Predict Successful Opioid Dose Reduction or Stabilization After Spinal Cord Stimulation
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Concerns surrounding application of artificial intelligence in hip and knee arthroplasty
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Artificial intelligence in orthopaedic surgery
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The current role of the virtual elements of artificial intelligence in total knee arthroplasty
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Sarcopenia is an Independent Risk Factor for Postoperative Blood Transfusion in Total Knee Arthroplasty: A Retrospective, Propensity Score-Matched Cohort Study
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Machine Learning-Based Prediction of Hemoglobin Reduction after Total Knee Arthroplasty: A Retrospective Cohort Study in Non-Transfused Patients
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Prediction of red blood cell transfusion after orthopedic surgery using an interpretable machine learning framework
inferred← citeshttps://doi.org/10.3390/jcm11133612openalex-snapshot
Deep Learning-Based Muscle Segmentation and Quantification of Full-Leg Plain Radiograph for Sarcopenia Screening in Patients Undergoing Total Knee Arthroplasty
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inferred← citeshttps://doi.org/10.3390/jcm14093102openalex-snapshot
How New Technologies Will Transform Total Knee Arthroplasty from a Singular Surgical Procedure to a Holistic Standardized Process
inferred← citeshttps://doi.org/10.3390/jcm14238479openalex-snapshot
Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications
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Detection of Prosthetic Loosening in Hip and Knee Arthroplasty Using Machine Learning: A Systematic Review and Meta-Analysis
inferred← citeshttps://doi.org/10.3390/medicina59061078openalex-snapshot
Does Sarcopenia Accompanying End-Stage Knee Osteoarthritis Affect the Outcomes following Total Knee Arthroplasty?
inferred← citeshttps://doi.org/10.3390/medicina60020226openalex-snapshot
Sex Differences in Sarcopenia in Patients Undergoing Total Knee Arthroplasty for Advanced Knee Osteoarthritis
inferred← citeshttps://doi.org/10.4055/cios22088openalex-snapshot
Total Knee Arthroplasty: Is It Safe? A Single-Center Study of 4,124 Patients in South Korea
inferred← citeshttps://doi.org/10.4055/jkoa.2025.60.4.223openalex-snapshot
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Additional file 1 of A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records
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Additional file 2 of A machine-learning model to predict postoperative delirium following knee arthroplasty using electronic health records
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Artificial Intelligence in Medical Diagnosis
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Current Concepts in Artificial Intelligence-Assisted Arthroplasty: A Review of the Perioperative Pathway
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