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Seong Jun Jang

Showing results (1-10 of 8) with videos related to

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Current Reviews in Musculoskeletal Medicine|April 8, 2024
Artificial Intelligence for Clinically Meaningful Outcome Prediction in Orthopedic Research: Current Applications and LimitationsSeong Jun Jang, Jake Rosenstadt, Eugenia Lee, et al.
The Journal of Arthroplasty|March 19, 2022
John Charnley Award: Deep Learning Prediction of Hip Joint Center on Standard Pelvis RadiographsSeong Jun Jang, Kyle N Kunze, Jonathan M Vigdorchik, et al.
The Journal of Arthroplasty|March 1, 2023
Deep Learning Phenotype Automation and Cohort Analyses of 1,946 Knees Using the Coronal Plane Alignment of the Knee ClassificationJohn R Steele, Seong Jun Jang, Zachary R Brilliant, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|November 11, 2022
Radiographic findings involved in knee osteoarthritis progression are associated with pain symptom frequency and baseline disease severity: a population-level analysis using deep learningKyle N Kunze, Seong Jun Jang, Tim Li, et al.
The Journal of Arthroplasty|March 10, 2023
Leg-Length Discrepancy Variability on Standard Anteroposterior Pelvis Radiographs: An Analysis Using Deep Learning MeasurementsSeong Jun Jang, Kyle N Kunze, Troy D Bornes, et al.
Arthroplasty Today|July 12, 2024
Radiographic Findings Associated With Mild Hip Dysplasia in 3869 Patients Using a Deep Learning Measurement ToolSeong Jun Jang, Daniel A Driscoll, Christopher G Anderson, et al.
The Journal of Arthroplasty|April 5, 2023
An Interpretable Machine Learning Model for Predicting 10-Year Total Hip Arthroplasty RiskSeong Jun Jang, Mark A Fontana, Kyle N Kunze, et al.
Journal of Shoulder and Elbow Surgery|May 12, 2023
Artificial intelligence for automated identification of total shoulder arthroplasty implantsKyle N Kunze, Seong Jun Jang, Tim Y Li, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Current Reviews in Musculoskeletal Medicine|April 8, 2024
Artificial Intelligence for Clinically Meaningful Outcome Prediction in Orthopedic Research: Current Applications and LimitationsSeong Jun Jang, Jake Rosenstadt, Eugenia Lee, et al.
The Journal of Arthroplasty|March 19, 2022
John Charnley Award: Deep Learning Prediction of Hip Joint Center on Standard Pelvis RadiographsSeong Jun Jang, Kyle N Kunze, Jonathan M Vigdorchik, et al.
The Journal of Arthroplasty|March 1, 2023
Deep Learning Phenotype Automation and Cohort Analyses of 1,946 Knees Using the Coronal Plane Alignment of the Knee ClassificationJohn R Steele, Seong Jun Jang, Zachary R Brilliant, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|November 11, 2022
Radiographic findings involved in knee osteoarthritis progression are associated with pain symptom frequency and baseline disease severity: a population-level analysis using deep learningKyle N Kunze, Seong Jun Jang, Tim Li, et al.
The Journal of Arthroplasty|March 10, 2023
Leg-Length Discrepancy Variability on Standard Anteroposterior Pelvis Radiographs: An Analysis Using Deep Learning MeasurementsSeong Jun Jang, Kyle N Kunze, Troy D Bornes, et al.
Arthroplasty Today|July 12, 2024
Radiographic Findings Associated With Mild Hip Dysplasia in 3869 Patients Using a Deep Learning Measurement ToolSeong Jun Jang, Daniel A Driscoll, Christopher G Anderson, et al.
The Journal of Arthroplasty|April 5, 2023
An Interpretable Machine Learning Model for Predicting 10-Year Total Hip Arthroplasty RiskSeong Jun Jang, Mark A Fontana, Kyle N Kunze, et al.
Journal of Shoulder and Elbow Surgery|May 12, 2023
Artificial intelligence for automated identification of total shoulder arthroplasty implantsKyle N Kunze, Seong Jun Jang, Tim Y Li, et al.
Pageof 1