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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Artificial neural network prediction of same-day discharge following primary total knee arthroplasty based on preoperative and intraoperative variables
Chapman Wei, Theodore Quan, Kevin Y. Wang, et al.
The Bone & Joint Journal (2021) Vol. 103-B, Iss. 8, pp. 1358-1366
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Artificial intelligence in orthopaedic surgery
Anthony Lisacek-Kiosoglous, Amber S. Powling, Andreas Fontalis, et al.
Bone and Joint Research (2023) Vol. 12, Iss. 7, pp. 447-454
Open Access | Times Cited: 66
A Systematic Review of the Application of Artificial Intelligence in Nursing Care: Where are We, and What’s Next?
Suebsarn Ruksakulpiwat, Sutthinee Thorngthip, Atsadaporn Niyomyart, et al.
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 1603-1616
Open Access | Times Cited: 19
Sentiment of Nurses Towards Artificial Intelligence and Resistance to Change in Healthcare Organisations: A Mixed‐Method Study
Shaimaa Mohamed Amin, Heba Emad El‐Gazar, Mohamed Ali Zoromba, et al.
Journal of Advanced Nursing (2024)
Closed Access | Times Cited: 9
Prediction of suitable outpatient candidates following revision total knee arthroplasty using machine learning
Teja Yeramosu, Waleed Ahmad, Jibanananda Satpathy, et al.
Bone & Joint Open (2023) Vol. 4, Iss. 6, pp. 399-407
Open Access | Times Cited: 13
Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model
Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin‐Wei Chen, et al.
Knee Surgery and Related Research (2025) Vol. 37, Iss. 1
Open Access
Machine Learning Model Developed to Aid in Patient Selection for Outpatient Total Joint Arthroplasty
Cesar D. Lopez, Jessica Ding, David P. Trofa, et al.
Arthroplasty Today (2021) Vol. 13, pp. 13-23
Open Access | Times Cited: 27
Enabling Personalized Medicine in Orthopaedic Surgery Through Artificial Intelligence
Nickelas Huffman, Ignacio Pasqualini, Shujaa T. Khan, et al.
JBJS Reviews (2024) Vol. 12, Iss. 3
Closed Access | Times Cited: 4
Artificial intelligence in total and unicompartmental knee arthroplasty
Umile Giuseppe Longo, Sergio De Salvatore, F Valente, et al.
BMC Musculoskeletal Disorders (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
Anesthesia for same-day Arthroplasty for Hips, Knees, and Shoulders
Sonya Bohaczuk, Poonam Pai, Yan H. Lai
Current anesthesiology reports (2025) Vol. 15, Iss. 1
Closed Access
Artificial intelligence and machine learning in knee arthroplasty
Hugo C. Rodriguez, Brandon Rust, Martin W. Roche, et al.
The Knee (2025) Vol. 54, pp. 28-49
Closed Access
Concerns surrounding application of artificial intelligence in hip and knee arthroplasty
Teja S. Polisetty, Samagra Jain, Michael Pang, et al.
The Bone & Joint Journal (2022) Vol. 104-B, Iss. 12, pp. 1292-1303
Closed Access | Times Cited: 18
A leap towards personalized orthopaedic surgery and the prediction of spinopelvic mechanics in total hip arthroplasty
Andreas Fontalis, Fares S. Haddad
The Bone & Joint Journal (2024) Vol. 106-B, Iss. 1, pp. 3-5
Closed Access | Times Cited: 3
The current role of the virtual elements of artificial intelligence in total knee arthroplasty
E. Carlos Rodríguez‐Merchán
EFORT Open Reviews (2022) Vol. 7, Iss. 7, pp. 491-497
Open Access | Times Cited: 13
A role for artificial intelligence applications inside and outside of the operating theatre: a review of contemporary use associated with total knee arthroplasty
Andrew P. Kurmis
Arthroplasty (2023) Vol. 5, Iss. 1
Open Access | Times Cited: 7
Generalizability of machine learning models predicting 30-day unplanned readmission after primary total knee arthroplasty using a nationally representative database
Anirudh Buddhiraju, Michelle Riyo Shimizu, Henry Hojoon Seo, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 8, pp. 2333-2341
Closed Access | Times Cited: 2
Artificial intelligence and computer vision in orthopaedic trauma
Jasper Prijs, Zhibin Liao, Soheil Ashkani‐Esfahani, et al.
The Bone & Joint Journal (2022) Vol. 104-B, Iss. 8, pp. 911-914
Open Access | Times Cited: 12
Machine learning classifiers do not improve prediction of hospitalization > 2 days after fast-track hip and knee arthroplasty compared with a classical statistical risk model
Katrin B Johannesdottir, Henrik Kehlet, Pelle Baggesgaard Petersen, et al.
Acta Orthopaedica (2022), pp. 117-123
Open Access | Times Cited: 11
Improving Resource Utilization for Arthroplasty Care by Leveraging Machine Learning and Optimization: A Systematic Review
Bahar Entezari, Robert Koucheki, Aazad Abbas, et al.
Arthroplasty Today (2023) Vol. 20, pp. 101116-101116
Open Access | Times Cited: 5
Risk factors for unplanned reoperation after corrective surgery for adult spinal deformity
Seungjun Ryu, Jae-Young So, Yoon Ha, et al.
Bone and Joint Research (2023) Vol. 12, Iss. 4, pp. 245-255
Open Access | Times Cited: 5
Machine-learning vs. logistic regression for preoperative prediction of medical morbidity after fast-track hip and knee arthroplasty—a comparative study
Christian Michelsen, Christoffer Calov Jørgensen, Mathias L. Heltberg, et al.
BMC Anesthesiology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 5
Looking ahead to autumn
Fares S. Haddad
The Bone & Joint Journal (2023) Vol. 105-B, Iss. 9, pp. 943-945
Closed Access | Times Cited: 2
Concomitant Procedures, Black Race, Male Sex, and General Anesthesia Show Fair Predictive Value for Prolonged Rotator Cuff Repair Operative Time: Analysis of the NSQIP Database Using Machine Learning
Teja Yeramosu, Laura M. Krivicich, Richard N. Puzzitiello, et al.
Arthroscopy The Journal of Arthroscopic and Related Surgery (2024)
Closed Access
Machine learning for predicting duration of surgery and length of stay: A literature review on joint arthroplasty
Mohammad Chavosh Nejad, Rikke Vestergaard Matthiesen, Iskra Dukovska‐Popovska, et al.
International Journal of Medical Informatics (2024) Vol. 192, pp. 105631-105631
Open Access
Artificial Intelligence in Knee Arthroplasty
Enrico Bertugli, Sébastien Lustıg, Sébastien Parratte, et al.
(2024), pp. 55-63
Closed Access
Predicting Early Hospital Discharge Following Revision Total Hip Arthroplasty: An Analysis of a Large National Database Using Machine Learning
Teja Yeramosu, Jacob M. Farrar, Azeem Tariq Malik, et al.
The Journal of Arthroplasty (2024)
Closed Access
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