Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Michiel E.R. Bongers"'
Autor:
Neal D Kapoor, Peter K Twining, Joseph H. Schwab, Santiago A. Lozano-Calderon, Erik T. Newman, Michiel E.R. Bongers, Stein J. Janssen, Olivier Q. Groot, Jorrit-Jan Verlaan, Kevin A. Raskin, Amanda Lans
Publikováno v:
Journal of Bone and Joint Surgery. 104:307-315
BACKGROUND The outcome differences following surgery for an impending versus a completed pathological fracture have not been clearly defined. The purpose of the present study was to assess differences in outcomes following the surgical treatment of i
Autor:
Jorrit-Jan Verlaan, Paul T Ogink, Aditya V. Karhade, F. Cumhur Oner, Michiel E.R. Bongers, Olivier Q. Groot, Joseph H. Schwab
Publikováno v:
Acta Orthopaedica, Vol 92, Iss 5, Pp 526-531 (2021)
Acta Orthopaedica
article-version (VoR) Version of Record
Acta Orthopaedica
article-version (VoR) Version of Record
Background and purpose — Advancements in software and hardware have enabled the rise of clinical prediction models based on machine learning (ML) in orthopedic surgery. Given their growing popularity and their likely implementation in clinical prac
Autor:
Aditya V. Karhade, Terence P. Doorly, Olivier Q. Groot, Daniel G. Tobert, Mitchel B. Harris, Sunita D. Srivastava, Stuart H. Hershman, Michiel E.R. Bongers, Thomas D. Cha, Christopher M. Bono, Joseph H. Schwab, James D. Kang, Harold A. Fogel
Publikováno v:
The Spine Journal. 21:1635-1642
BACKGROUND Intraoperative vascular injury (VI) may be an unavoidable complication of anterior lumbar spine surgery; however, vascular injury has implications for quality and safety reporting as this intraoperative complication may result in serious b
Autor:
Shu-Hua Yang, Hung-Kuan Yen, Aditya V. Karhade, Joseph H. Schwab, Po-Hao Huang, Jiun-Jen Yang, Mitchell S. Fourman, Michiel E.R. Bongers, Ming-Hsiao Hu, Chih-Wei Chen, Olivier Q. Groot, Wei-Hsin Lin
Publikováno v:
The Spine Journal. 21:1670-1678
Background Context Accurately predicting the survival of patients with spinal metastases is important for guiding surgical intervention. The SORG machine-learning (ML) algorithm for the 90-day and one-year mortality of patients with metastatic cancer
Autor:
Yi-Hsiang Lai, Jorrit-Jan Verlaan, Wei-Hsin Lin, Olivier Q. Groot, Jia-Chi Ko, Jing-Jen Yang, Hung-Kuan Yen, Rong-Sen Yang, Aditya V. Karhade, Chia-Che Lee, Ting-En Tseng, Joseph H. Schwab, Chun-Han Hou, Shin-Ying Lin, Ming-Hsiao Hu, Michiel E.R. Bongers
Publikováno v:
Clin Orthop Relat Res
BACKGROUND The Skeletal Oncology Research Group machine-learning algorithms (SORG-MLAs) estimate 90-day and 1-year survival in patients with long-bone metastases undergoing surgical treatment and have demonstrated good discriminatory ability on inter
Autor:
Joseph H. Schwab, Neal D Kapoor, Bas J J Bindels, Jacobien H.F. Oosterhoff, Jorrit-Jan Verlaan, Aditya V. Karhade, Paul T Ogink, Amanda Lans, Austin K. Collins, Olivier Q. Groot, Peter K Twining, Michiel E.R. Bongers
Publikováno v:
Acta Orthopaedica
article-version (VoR) Version of Record
Acta Orthopaedica, Vol 92, Iss 4, Pp 385-393 (2021)
article-version (VoR) Version of Record
Acta Orthopaedica, Vol 92, Iss 4, Pp 385-393 (2021)
Background and purpose — External validation of machine learning (ML) prediction models is an essential step before clinical application. We assessed the proportion, performance, and transparent reporting of externally validated ML prediction model
Autor:
Joseph H. Schwab, Jorrit-Jan Verlaan, Kevin A. Raskin, Michiel E.R. Bongers, Quirina Thio, Erik T. Newman, Olivier Q. Groot, Santiago A. Lozano-Calderon, Jos A. M. Bramer
Publikováno v:
Acta Oncologica, 60(6), 714-720. Informa Healthcare
Background: The clinical relevance of patient-reported outcomes score changes is often unclear. Especially in patients undergoing surgery due to lower extremity metastases–where surgery is performed in the palliative setting and the goal is to opti
Autor:
Joseph H. Schwab, Paul T Ogink, Aditya V. Karhade, Jos A. M. Bramer, Joeky T. Senders, Olivier Q. Groot, Michiel E.R. Bongers, Jorrit-Jan Verlaan
Publikováno v:
Clin Orthop Relat Res
Clinical orthopaedics and related research, 478(12), 2751-2764. Springer New York
Clinical orthopaedics and related research, 478(12), 2751-2764. Springer New York
BACKGROUND: Machine learning (ML) is a subdomain of artificial intelligence that enables computers to abstract patterns from data without explicit programming. A myriad of impactful ML applications already exists in orthopaedics ranging from predicti
Autor:
Anuj K. Patel, Katrina F. Chu, Joseph H. Schwab, Brett Rosenthal, Michiel E.R. Bongers, Paul T. Ogink, Francis J. Hornicek, Sang-Gil Lee, John H. Shin
Publikováno v:
Journal of Neurosurgery: Spine. :1-10
OBJECTIVEReconstruction of the mobile spine following total en bloc spondylectomy (TES) of one or multiple vertebral bodies in patients with malignant spinal tumors is a challenging procedure with high failure rates. A common reason for reconstructiv
Autor:
Nuno Rui Paulino Pereira, Michiel E.R. Bongers, Kevin A. Raskin, Santiago A. Lozano-Calderon, Paul T. Ogink, Joseph H. Schwab, Jorrit-Jan Verlaan, Olivier Q. Groot, Erik T. Newman
Publikováno v:
Clin Orthop Relat Res
BACKGROUND Patients with bone metastases often are unable to complete quality of life (QoL) questionnaires, and cohabitants (such as spouses, domestic partners, offspring older than 18 years, or other people who live with the patient) could be a reli