Artificial intelligence fracture recognition on computed tomography

Autor: Dankelman, Lente H. M., Schilstra, Sanne, IJpma, Frank F. A., Doornberg, Job N., Colaris, Joost W., Verhofstad, Michael H. J., Wijffels, Mathieu M. E., Prijs, Jasper, Algra, Paul, van den Bekerom, Michel, Bhandari, Mohit, Bongers, Michiel, Court-Brown, Charles, Bulstra, Anne-Eva, Buijze, Geert, Bzovsky, Sofia, Colaris, Joost, Chen, Neil, Doornberg, Job, Duckworth, Andrew, Goslings, J. Carel, Gordon, Max, Gravesteijn, Benjamin, Groot, Olivier, Guyatt, Gordon, Hendrickx, Laurent, Hintermann, Beat, Hofstee, Dirk-Jan, IJpma, Frank, Jaarsma, Ruurd, Janssen, Stein, Jeray, Kyle, Jutte, Paul, Karhade, Aditya, Keijser, Lucien, Kerkhoffs, Gino, Langerhuizen, David, Lans, Jonathan, Mallee, Wouter, Moran, Matthew, McQueen, Margaret, Mulders, Marjolein, Nelissen, Rob, Obdeijn, Miryam, Oberai, Tarandeep, Olczak, Jakub, Oosterhoff, Jacobien H. F., Petrisor, Brad, Poolman, Rudolf, Ring, David, Tornetta, Paul, Sanders, David, Schwab, Joseph, Schemitsch, Emil H., Schep, Niels, Schipper, Inger, Schoolmeesters, Bram, Swiontkowski, Marc, Sprague, Sheila, Steyerberg, Ewout, Stirler, Vincent, Walter, Stephen D., Walenkamp, Monique, Wijffels, Mathieu, Laane, Charlotte

Publikováno v: Dankelman, L H M, Schilstra, S, IJpma, F F A, Doornberg, J N, Colaris, J W, Verhofstad, M H J, Wijffels, M M E, Prijs, J, On Behalf of Machine Learning Consortium, Algra, P, van den Bekerom, M, Bhandari, M, Bongers, M, Court-Brown, C, Bulstra, A-E, Buijze, G, Bzovsky, S, Colaris, J, Chen, N, Doornberg, J, Duckworth, A, Goslings, J C, Gordon, M, Gravesteijn, B, Groot, O, Guyatt, G, Hendrickx, L, Hintermann, B, Hofstee, D-J, IJpma, F, Jaarsma, R, Janssen, S, Jeray, K, Jutte, P, Karhade, A, Keijser, L, Kerkhoffs, G, Langerhuizen, D, Lans, J, Mallee, W, Moran, M, McQueen, M, Mulders, M, Nelissen, R, Obdeijn, M, Oberai, T, Olczak, J, Oosterhoff, J H F, Petrisor, B, Poolman, R, Prijs, J, Ring, D, Tornetta, P, Sanders, D, Schwab, J, Schemitsch, E H, Schep, N, Schipper, I, Schoolmeesters, B, Schwab, J, Swiontkowski, M, Sprague, S, Steyerberg, E, Stirler, V, Tornetta, P, Walter, S D, Walenkamp, M, Wijffels, M & Laane, C 2022, ' Artificial intelligence fracture recognition on computed tomography : review of literature and recommendations ', European Journal of Trauma and Emergency Surgery . https://doi.org/10.1007/s00068-022-02128-1

Purpose The use of computed tomography (CT) in fractures is time consuming, challenging and suffers from poor inter-surgeon reliability. Convolutional neural networks (CNNs), a subset of artificial intelligence (AI), may overcome shortcomings and red

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::603e9249b86e374230b0d94a2d39da90
https://doi.org/10.1007/s00068-022-02128-1