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Evan M Polce

Showing results (11-20 of 57) with videos related to

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Archives of Orthopaedic and Trauma Surgery|July 13, 2021
Validation and performance of a machine-learning derived prediction guide for total knee arthroplasty component sizingKyle N Kunze, Evan M Polce, Arpan Patel, et al.
JBJS Essential Surgical Techniques|June 10, 2022
Posterolateral Corner Reconstruction: Surgical Technique and Postoperative RehabilitationBhargavi Maheshwer, Kevin C Parvaresh, Brady T Williams, et al.
Archives of Orthopaedic and Trauma Surgery|May 4, 2022
Development and internal validation of machine learning algorithms for predicting complications after primary total hip arthroplastyKyle N Kunze, Aditya V Karhade, Evan M Polce, et al.
The American Journal of Sports Medicine|January 7, 2021
Contribution of Multimodal Analgesia to Postoperative Pain Outcomes Immediately After Primary Anterior Cruciate Ligament Reconstruction: A Systematic Review and Meta-analysis of Level 1 Randomized Clinical TrialsBhargavi Maheshwer, Derrick M Knapik, Evan M Polce, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|March 31, 2023
Lower donor site morbidity with hamstring and quadriceps tendon autograft compared with bone-patellar tendon-bone autograft after anterior cruciate ligament reconstruction: a systematic review and network meta-analysis of randomized controlled trialsKyle N Kunze, Jay Moran, Evan M Polce, et al.
The Journal of Bone and Joint Surgery. American Volume|April 20, 2021
Machine Learning Algorithms Predict Functional Improvement After Hip Arthroscopy for Femoroacetabular Impingement Syndrome in AthletesKyle N Kunze, Evan M Polce, Ian Clapp, et al.
The Journal of Bone and Joint Surgery. American Volume|January 19, 2022
Efficacy and Applications of Artificial Intelligence and Machine Learning Analyses in Total Joint Arthroplasty: A Call for Improved ReportingEvan M Polce, Kyle N Kunze, Matthew S Dooley, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|January 13, 2022
Machine learning algorithms predict within one size of the final implant ultimately used in total knee arthroplasty with good-to-excellent accuracyKyle N Kunze, Evan M Polce, Arpan Patel, et al.
The American Journal of Sports Medicine|February 10, 2021
Risk Factors for Ramp Lesions of the Medial Meniscus: A Systematic Review and Meta-analysisKyle N Kunze, Joshua Wright-Chisem, Evan M Polce, et al.
The American Journal of Sports Medicine|June 23, 2022
Clinical and Magnetic Resonance Imaging Outcomes After Microfracture Treatment With and Without Augmentation for Focal Chondral Lesions in the Knee: A Systematic Review and Meta-analysisLuc M Fortier, Derrick M Knapik, Suhas P Dasari, et al.
Pageof 6

Showing results (11-20 of 57) with videos related to

Sort By:
Pageof 6
Archives of Orthopaedic and Trauma Surgery|July 13, 2021
Validation and performance of a machine-learning derived prediction guide for total knee arthroplasty component sizingKyle N Kunze, Evan M Polce, Arpan Patel, et al.
JBJS Essential Surgical Techniques|June 10, 2022
Posterolateral Corner Reconstruction: Surgical Technique and Postoperative RehabilitationBhargavi Maheshwer, Kevin C Parvaresh, Brady T Williams, et al.
Archives of Orthopaedic and Trauma Surgery|May 4, 2022
Development and internal validation of machine learning algorithms for predicting complications after primary total hip arthroplastyKyle N Kunze, Aditya V Karhade, Evan M Polce, et al.
The American Journal of Sports Medicine|January 7, 2021
Contribution of Multimodal Analgesia to Postoperative Pain Outcomes Immediately After Primary Anterior Cruciate Ligament Reconstruction: A Systematic Review and Meta-analysis of Level 1 Randomized Clinical TrialsBhargavi Maheshwer, Derrick M Knapik, Evan M Polce, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|March 31, 2023
Lower donor site morbidity with hamstring and quadriceps tendon autograft compared with bone-patellar tendon-bone autograft after anterior cruciate ligament reconstruction: a systematic review and network meta-analysis of randomized controlled trialsKyle N Kunze, Jay Moran, Evan M Polce, et al.
The Journal of Bone and Joint Surgery. American Volume|April 20, 2021
Machine Learning Algorithms Predict Functional Improvement After Hip Arthroscopy for Femoroacetabular Impingement Syndrome in AthletesKyle N Kunze, Evan M Polce, Ian Clapp, et al.
The Journal of Bone and Joint Surgery. American Volume|January 19, 2022
Efficacy and Applications of Artificial Intelligence and Machine Learning Analyses in Total Joint Arthroplasty: A Call for Improved ReportingEvan M Polce, Kyle N Kunze, Matthew S Dooley, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|January 13, 2022
Machine learning algorithms predict within one size of the final implant ultimately used in total knee arthroplasty with good-to-excellent accuracyKyle N Kunze, Evan M Polce, Arpan Patel, et al.
The American Journal of Sports Medicine|February 10, 2021
Risk Factors for Ramp Lesions of the Medial Meniscus: A Systematic Review and Meta-analysisKyle N Kunze, Joshua Wright-Chisem, Evan M Polce, et al.
The American Journal of Sports Medicine|June 23, 2022
Clinical and Magnetic Resonance Imaging Outcomes After Microfracture Treatment With and Without Augmentation for Focal Chondral Lesions in the Knee: A Systematic Review and Meta-analysisLuc M Fortier, Derrick M Knapik, Suhas P Dasari, et al.
Pageof 6