Search Results - "Polce, Evan"

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  1. 1

    Development of Machine Learning Algorithms to Predict Patient Dissatisfaction After Primary Total Knee Arthroplasty by Kunze, Kyle N., Polce, Evan M., Sadauskas, Alexander J., Levine, Brett R.

    Published in The Journal of arthroplasty (01-11-2020)
    “…Postoperative dissatisfaction after primary total knee arthroplasty (TKA) that requires additional care or readmission may impose a significant financial…”
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    Journal Article
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    Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip Arthroscopy by Kunze, Kyle N., Polce, Evan M., Rasio, Jonathan, Nho, Shane J.

    Published in Arthroscopy (01-04-2021)
    “…To develop machine learning algorithms to predict failure to achieve clinically significant satisfaction after hip arthroscopy. We queried a clinical…”
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    Journal Article
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    A Guide for the Application of Statistics in Biomedical Studies Concerning Machine Learning and Artificial Intelligence by Polce, Evan M., Kunze, Kyle N.

    Published in Arthroscopy (01-02-2023)
    “…With the plethora of machine learning (ML) analyses published in the orthopaedic literature within the last 5 years, several attempts have been made to enhance…”
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    Machine Learning Algorithms Predict Functional Improvement After Hip Arthroscopy for Femoroacetabular Impingement Syndrome in Athletes by Kunze, Kyle N., Polce, Evan M., Clapp, Ian, Nwachukwu, Benedict U., Chahla, Jorge, Nho, Shane J.

    “…Despite previous reports of improvements for athletes following hip arthroscopy for femoroacetabular impingement syndrome (FAIS), many do not achieve…”
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    What Is the Predictive Ability and Academic Impact of the Altmetrics Score and Social Media Attention? by Kunze, Kyle N., Polce, Evan M., Vadhera, Amar, Williams, Brady T., Nwachukwu, Benedict U., Nho, Shane J., Chahla, Jorge

    Published in The American journal of sports medicine (01-04-2020)
    “…Background: Citation rate and journal impact factor have traditionally been used to assess research impact; however, these may fail to represent impact beyond…”
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    Regenerative Potential of Mesenchymal Stem Cells for the Treatment of Knee Osteoarthritis and Chondral Defects: A Systematic Review and Meta-analysis by Maheshwer, Bhargavi, Polce, Evan M., Paul, Katlynn, Williams, Brady T., Wolfson, Theodore S., Yanke, Adam, Verma, Nikhil N., Cole, Brian J., Chahla, Jorge

    Published in Arthroscopy (01-01-2021)
    “…To perform a systematic review and meta-analysis evaluating the effects of mesenchymal stem cells (MSCs) on cartilage regeneration and patient-reported pain…”
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    Risk Factors for Ramp Lesions of the Medial Meniscus: A Systematic Review and Meta-analysis by Kunze, Kyle N., Wright-Chisem, Joshua, Polce, Evan M., DePhillipo, Nicholas N., LaPrade, Robert F., Chahla, Jorge

    Published in The American journal of sports medicine (01-11-2021)
    “…Background: Failure to appropriately identify and repair medial meniscal ramp lesions at the time of anterior cruciate ligament (ACL) reconstruction (ACLR) may…”
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    Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy by Kunze, Kyle N., Polce, Evan M., Nwachukwu, Benedict U., Chahla, Jorge, Nho, Shane J.

    Published in Arthroscopy (01-05-2021)
    “…To (1) develop and validate a machine learning algorithm to predict clinically significant functional improvements after hip arthroscopy for femoroacetabular…”
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    Journal Article
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    Association Between Preoperative Patient Factors and Clinically Meaningful Outcomes After Hip Arthroscopy for Femoroacetabular Impingement Syndrome: A Machine Learning Analysis by Kunze, Kyle N., Polce, Evan M., Clapp, Ian Michael, Alter, Thomas, Nho, Shane J.

    Published in The American journal of sports medicine (01-03-2022)
    “…Background: The International Hip Outcome Tool 12-Item Questionnaire (IHOT-12) has been proposed as a more appropriate outcome assessment for hip arthroscopy…”
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    A Novel Fluoroscopic View for Improved Assessment of the Safety of the Posterosuperior Screw in Femoral Neck Fracture Fixation by Terhune, E. Bailey, Polce, Evan M., Williams, Joel C.

    “…The purpose of the present study was to determine specific fluoroscopic views of the femoral neck to accurately identify partially extraosseous ("in-out-in";…”
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    Efficacy and Applications of Artificial Intelligence and Machine Learning Analyses in Total Joint Arthroplasty: A Call for Improved Reporting by Polce, Evan M., Kunze, Kyle N., Dooley, Matthew S., Piuzzi, Nicolas S., Boettner, Friedrich, Sculco, Peter K.

    “…There has been a considerable increase in total joint arthroplasty (TJA) research using machine learning (ML). Therefore, the purposes of this study were to…”
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    Machine learning algorithms predict within one size of the final implant ultimately used in total knee arthroplasty with good-to-excellent accuracy by Kunze, Kyle N., Polce, Evan M., Patel, Arpan, Courtney, P. Maxwell, Sporer, Scott M., Levine, Brett R.

    “…Purpose To develop a novel machine learning algorithm capable of predicting TKA implant sizes using a large, multicenter database. Methods A consecutive series…”
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    Validation and performance of a machine-learning derived prediction guide for total knee arthroplasty component sizing by Kunze, Kyle N., Polce, Evan M., Patel, Arpan, Courtney, P. Maxwell, Levine, Brett R.

    Published in Archives of orthopaedic and trauma surgery (01-12-2021)
    “…Introduction Anticipation of patient-specific component sizes prior to total knee arthroplasty (TKA) is essential to avoid excessive cost associated with…”
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    Adjunct Analgesia Reduces Pain and Opioid Consumption After Hip Arthroscopy: A Systematic Review of Randomized Controlled Trials by Kunze, Kyle N., Polce, Evan M., Lilly, Daniel T., Garcia, Flavio L., Cohn, Matthew R., Nho, Shane J., Chahla, Jorge

    Published in The American journal of sports medicine (01-12-2020)
    “…Background: Patients who undergo hip arthroscopy inevitably experience pain postoperatively; however, the efficacy and safety of adjunct analgesia to prevent…”
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