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Evan M Polce

Showing results (1-10 of 57) with videos related to

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Arthroscopy : the Journal of Arthroscopic & Related Surgery : Official Publication of the Arthroscopy Association of North America and the International Arthroscopy Association|May 13, 2022
A Guide for the Application of Statistics in Biomedical Studies Concerning Machine Learning and Artificial IntelligenceEvan M Polce, Kyle N Kunze
The Journal of Bone and Joint Surgery. American Volume|May 18, 2022
A Novel Fluoroscopic View for Improved Assessment of the Safety of the Posterosuperior Screw in Femoral Neck Fracture FixationE Bailey Terhune, Evan M Polce, Joel C Williams
Arthroscopy : the Journal of Arthroscopic & Related Surgery : Official Publication of the Arthroscopy Association of North America and the International Arthroscopy Association|December 28, 2020
Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip ArthroscopyKyle N Kunze, Evan M Polce, Jonathan Rasio, et al.
JSES International|July 11, 2022
Patient compliance and satisfaction with topical benzoyl peroxide gel prior to shoulder surgeryEvan M Polce, Eric J Cotter, Ernesto Polania-Gonzalez, et al.
Arthroplasty Today|June 7, 2021
Machine Learning Predicts Femoral and Tibial Implant Size Mismatch for Total Knee ArthroplastyEvan M Polce, Kyle N Kunze, Katlynn M Paul, et al.
The Journal of Arthroplasty|June 23, 2020
Development of Machine Learning Algorithms to Predict Patient Dissatisfaction After Primary Total Knee ArthroplastyKyle N Kunze, Evan M Polce, Alexander J Sadauskas, et al.
Journal of the American Academy of Orthopaedic Surgeons. Global Research & Reviews|May 25, 2021
Machine Learning Algorithms Predict Prolonged Opioid Use in Opioid-Naïve Primary Hip Arthroscopy PatientsKyle N Kunze, Evan M Polce, Thomas D Alter, et al.
Journal of the American Academy of Orthopaedic Surgeons. Global Research & Reviews|April 26, 2022
Comparison of Surgical Time, Short-term Adverse Events, and Implant Placement Accuracy Between Manual, Robotic-assisted, and Computer-navigated Total Hip Arthroplasty: A Network Meta-analysis of Randomized Controlled TrialsKyle N Kunze, Patawut Bovonratwet, Evan M Polce, et al.
The American Journal of Sports Medicine|January 10, 2022
Association Between Preoperative Patient Factors and Clinically Meaningful Outcomes After Hip Arthroscopy for Femoroacetabular Impingement Syndrome: A Machine Learning AnalysisKyle N Kunze, Evan M Polce, Ian Michael Clapp, et al.
Arthroscopy : the Journal of Arthroscopic & Related Surgery : Official Publication of the Arthroscopy Association of North America and the International Arthroscopy Association|January 18, 2021
Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip ArthroscopyKyle N Kunze, Evan M Polce, Benedict U Nwachukwu, et al.
Pageof 6

Showing results (1-10 of 57) with videos related to

Sort By:
Pageof 6
Arthroscopy : the Journal of Arthroscopic & Related Surgery : Official Publication of the Arthroscopy Association of North America and the International Arthroscopy Association|May 13, 2022
A Guide for the Application of Statistics in Biomedical Studies Concerning Machine Learning and Artificial IntelligenceEvan M Polce, Kyle N Kunze
The Journal of Bone and Joint Surgery. American Volume|May 18, 2022
A Novel Fluoroscopic View for Improved Assessment of the Safety of the Posterosuperior Screw in Femoral Neck Fracture FixationE Bailey Terhune, Evan M Polce, Joel C Williams
Arthroscopy : the Journal of Arthroscopic & Related Surgery : Official Publication of the Arthroscopy Association of North America and the International Arthroscopy Association|December 28, 2020
Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip ArthroscopyKyle N Kunze, Evan M Polce, Jonathan Rasio, et al.
JSES International|July 11, 2022
Patient compliance and satisfaction with topical benzoyl peroxide gel prior to shoulder surgeryEvan M Polce, Eric J Cotter, Ernesto Polania-Gonzalez, et al.
Arthroplasty Today|June 7, 2021
Machine Learning Predicts Femoral and Tibial Implant Size Mismatch for Total Knee ArthroplastyEvan M Polce, Kyle N Kunze, Katlynn M Paul, et al.
The Journal of Arthroplasty|June 23, 2020
Development of Machine Learning Algorithms to Predict Patient Dissatisfaction After Primary Total Knee ArthroplastyKyle N Kunze, Evan M Polce, Alexander J Sadauskas, et al.
Journal of the American Academy of Orthopaedic Surgeons. Global Research & Reviews|May 25, 2021
Machine Learning Algorithms Predict Prolonged Opioid Use in Opioid-Naïve Primary Hip Arthroscopy PatientsKyle N Kunze, Evan M Polce, Thomas D Alter, et al.
Journal of the American Academy of Orthopaedic Surgeons. Global Research & Reviews|April 26, 2022
Comparison of Surgical Time, Short-term Adverse Events, and Implant Placement Accuracy Between Manual, Robotic-assisted, and Computer-navigated Total Hip Arthroplasty: A Network Meta-analysis of Randomized Controlled TrialsKyle N Kunze, Patawut Bovonratwet, Evan M Polce, et al.
The American Journal of Sports Medicine|January 10, 2022
Association Between Preoperative Patient Factors and Clinically Meaningful Outcomes After Hip Arthroscopy for Femoroacetabular Impingement Syndrome: A Machine Learning AnalysisKyle N Kunze, Evan M Polce, Ian Michael Clapp, et al.
Arthroscopy : the Journal of Arthroscopic & Related Surgery : Official Publication of the Arthroscopy Association of North America and the International Arthroscopy Association|January 18, 2021
Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip ArthroscopyKyle N Kunze, Evan M Polce, Benedict U Nwachukwu, et al.
Pageof 6