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  1. 1
    Systematic review of machine-learning models in orthopaedic trauma: an overview and quality assessment of 45 studies

    Systematic review of machine-learning models in orthopaedic trauma: an overview and quality assessment of 45 studies per Hidde Dijkstra, Anouk van de Kuit, Tom de Groot, Olga Canta, Olivier Q. Groot, Jacobien H. Oosterhoff, Job N. Doornberg, On behalf of the Machine Learning Consortium

    Publicat 2024-01-01
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  2. 2
    An increasing number of convolutional neural networks for fracture recognition and classification in orthopaedics: are these externally validated and ready for clinical application?

    An increasing number of convolutional neural networks for fracture recognition and classification in orthopaedics: are these externally validated and ready for clinical application... per Luisa Oliveira e Carmo, Anke van den Merkhof, Jakub Olczak, Max Gordon, Paul C. Jutte, Ruurd L. Jaarsma, Frank F. A. IJpma, Job N. Doornberg, Jasper Prijs, Machine Learning Consortium

    Publicat 2021-10-01
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  3. 3
    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 trials

    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 trials per Hidde Dijkstra, Jacobien H. F. Oosterhoff, Anouk van de Kuit, Frank F. A. IJpma, Joseph H. Schwab, Rudolf W. Poolman, Sheila Sprague, Sofia Bzovsky, Mohit Bhandari, Marc Swiontkowski, Emil H. Schemitsch, Job N. Doornberg, Laurent A. M. Hendrickx, On behalf of the Machine Learning Consortium, the HEALTH Investigators, and the FAITH Investigators

    Publicat 2023-03-01
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