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Job N Doornberg

Showing results (231-240 of 243) with videos related to

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JB & JS Open Access|April 19, 2024
Prevalence of Rotational Malalignment After Infrapatellar Versus Suprapatellar Intramedullary Nailing of Tibial Shaft FracturesDagmar S Alderlieste, Megan E Cain, Nynke van der Gaast, et al.
European Journal of Orthopaedic Surgery & Traumatology : Orthopedie Traumatologie|December 8, 2025
There is no difference in prevalence of rotation malalignment following intramedullary nailing of open versus closed tibial shaft fracturesMegan E Cain, Dagmar S Alderlieste, Nynke van der Gaast, et al.
Bone & Joint Open|April 13, 2023
Development of machine-learning algorithms for 90-day and one-year mortality prediction in the elderly with femoral neck fractures based on the HEALTH and FAITH trialsHidde Dijkstra, Jacobien H F Oosterhoff, Anouk van de Kuit, et al.
Journal of Orthopaedic Trauma|July 16, 2021
Difference in Pain, Complication Rates, and Clinical Outcomes After Suprapatellar Versus Infrapatellar Nailing for Tibia Fractures? A Systematic Review of 1447 PatientsNils Jan Bleeker, Inge H F Reininga, Bryan J M van de Wall, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|September 26, 2024
Methodology and development of a machine learning probability calculator: Data heterogeneity limits ability to predict recurrence after arthroscopic Bankart repairSanne H van Spanning, Lukas P E Verweij, Laurent A M Hendrickx, et al.
Clinical Orthopaedics and Related Research|May 29, 2024
Erratum to: Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020Tom M deGroot, Duncan Ramsey, Olivier Q Groot, et al.
Clinical Orthopaedics and Related Research|May 25, 2023
Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020Tom M de Groot, Duncan Ramsey, Olivier Q Groot, et al.
Clinical Orthopaedics and Related Research|March 12, 2024
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision ArthroplastyJacobien H F Oosterhoff, Anne A H de Hond, Rinne M Peters, et al.
European Journal of Trauma and Emergency Surgery : Official Publication of the European Trauma Society|September 9, 2025
Long-term patient-reported outcomes after nonoperative treatment of distal radial fractures: what CT-based gaps and step-offs can be accepted?Lisanne J M Roelofs, Tim D Van der Meulen, Kaj Ten Duis, et al.
The Bone & Joint Journal|August 31, 2023
Can CT-based gap and step-off displacement predict outcome after nonoperative treatment of acetabular fractures?Neeltje M Trouwborst, Kaj Ten Duis, Hester Banierink, et al.
Pageof 25

Showing results (231-240 of 243) with videos related to

Sort By:
Pageof 25
JB & JS Open Access|April 19, 2024
Prevalence of Rotational Malalignment After Infrapatellar Versus Suprapatellar Intramedullary Nailing of Tibial Shaft FracturesDagmar S Alderlieste, Megan E Cain, Nynke van der Gaast, et al.
European Journal of Orthopaedic Surgery & Traumatology : Orthopedie Traumatologie|December 8, 2025
There is no difference in prevalence of rotation malalignment following intramedullary nailing of open versus closed tibial shaft fracturesMegan E Cain, Dagmar S Alderlieste, Nynke van der Gaast, et al.
Bone & Joint Open|April 13, 2023
Development of machine-learning algorithms for 90-day and one-year mortality prediction in the elderly with femoral neck fractures based on the HEALTH and FAITH trialsHidde Dijkstra, Jacobien H F Oosterhoff, Anouk van de Kuit, et al.
Journal of Orthopaedic Trauma|July 16, 2021
Difference in Pain, Complication Rates, and Clinical Outcomes After Suprapatellar Versus Infrapatellar Nailing for Tibia Fractures? A Systematic Review of 1447 PatientsNils Jan Bleeker, Inge H F Reininga, Bryan J M van de Wall, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|September 26, 2024
Methodology and development of a machine learning probability calculator: Data heterogeneity limits ability to predict recurrence after arthroscopic Bankart repairSanne H van Spanning, Lukas P E Verweij, Laurent A M Hendrickx, et al.
Clinical Orthopaedics and Related Research|May 29, 2024
Erratum to: Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020Tom M deGroot, Duncan Ramsey, Olivier Q Groot, et al.
Clinical Orthopaedics and Related Research|May 25, 2023
Does the SORG Machine-learning Algorithm for Extremity Metastases Generalize to a Contemporary Cohort of Patients? Temporal Validation From 2016 to 2020Tom M de Groot, Duncan Ramsey, Olivier Q Groot, et al.
Clinical Orthopaedics and Related Research|March 12, 2024
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision ArthroplastyJacobien H F Oosterhoff, Anne A H de Hond, Rinne M Peters, et al.
European Journal of Trauma and Emergency Surgery : Official Publication of the European Trauma Society|September 9, 2025
Long-term patient-reported outcomes after nonoperative treatment of distal radial fractures: what CT-based gaps and step-offs can be accepted?Lisanne J M Roelofs, Tim D Van der Meulen, Kaj Ten Duis, et al.
The Bone & Joint Journal|August 31, 2023
Can CT-based gap and step-off displacement predict outcome after nonoperative treatment of acetabular fractures?Neeltje M Trouwborst, Kaj Ten Duis, Hester Banierink, et al.
Pageof 25