2,741
Views
25
CrossRef citations to date
0
Altmetric
Research Article

Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs

, , , , , , , , , , , , , , , , & show all

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Katarzyna Kolasa, Bisrat Admassu, Malwina Hołownia-Voloskova, Katarzyna J Kędzior, Jean-Etienne Poirrier & Stefano Perni. (2023) Systematic reviews of machine learning in healthcare: a literature review. Expert Review of Pharmacoeconomics & Outcomes Research 0:0, pages 1-53.
Read now

Articles from other publishers (24)

Xianyue Shen, Jia Luo, Xiongfeng Tang, Bo Chen, Yanguo Qin, You Zhou & Jianlin Xiao. (2023) Deep Learning Approach for Diagnosing Early Osteonecrosis of the Femoral Head Based on Magnetic Resonance Imaging. The Journal of Arthroplasty 38:10, pages 2044-2050.
Crossref
Hongbiao Sun, Xiang Wang, Zheren Li, Aie Liu, Shaochun Xu, Qinling Jiang, Qingchu Li, Zhong Xue, Jing Gong, Lei Chen, Yi Xiao & Shiyuan Liu. (2023) Automated Rib Fracture Detection on Chest X-Ray Using Contrastive Learning. Journal of Digital Imaging.
Crossref
R. Kyle Martin, Solvejg Wastvedt, Ayoosh Pareek, Andreas Persson, Håvard Visnes, Anne Marie Fenstad, Gilbert Moatshe, Julian Wolfson, Martin Lind & Lars Engebretsen. (2023) Ceiling Effect of the Combined Norwegian and Danish Knee Ligament Registers Limits Anterior Cruciate Ligament Reconstruction Outcome Prediction. The American Journal of Sports Medicine 51:9, pages 2324-2332.
Crossref
Su Hyun Lee, JiHwan Lee, Kyung-Soo Oh, Jong Pil Yoon, Anna Seo, YoungJin Jeong & Seok Won Chung. (2023) Automated 3-dimensional MRI segmentation for the posterosuperior rotator cuff tear lesion using deep learning algorithm. PLOS ONE 18:5, pages e0284111.
Crossref
Jasper Prijs, Zhibin Liao, Minh-Son To, Johan Verjans, Paul C. Jutte, Vincent Stirler, Jakub Olczak, Max Gordon, Daniel Guss, Christopher W. DiGiovanni, Ruurd L. Jaarsma, Frank F. A. IJpma, Job N. Doornberg, Kaan Aksakal, Britt Barvelink, Benn Beuker, Anne Eva Bultra, Luisa e Carmo Oliviera, Joost Colaris, Huub de Klerk, Andrew Duckworth, Kaj ten Duis, Eelco Fennema, Jorrit Harbers, Ran Hendrickx, Merilyn Heng, Sanne Hoeksema, Mike Hogervorst, Bhavin Jadav, Julie Jiang, Aditya Karhade, Gino Kerkhoffs, Joost Kuipers, Charlotte Laane, David Langerhuizen, Bart Lubberts, Wouter Mallee, Haras Mhmud, Mostafa El Moumni, Patrick Nieboer, Koen Oude Nijhuis, Peter van Ooijen, Jacobien Oosterhoff, Jai Rawat, David Ring, Sanne Schilstra, Jospeph Schwab, Sheila Sprague, Sjoerd Stufkens, Elvira Tijdens, Michel van der Bekerom, Puck van der Vet, Jean- Paul de Vries, Klaus Wendt, Matthieu Wijffels & David Worsley. (2022) Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN). European Journal of Trauma and Emergency Surgery 49:2, pages 1057-1069.
Crossref
Andrew S. Miller, Saisanjana Vattigunta, Sribava Sharma, Abdulaziz F. Ahmed, Sabrina G. Jenkins, Savyasachi Thakkar & Uma Srikumaran. (2023) Does Additional Review of Initial Radiographs by Musculoskeletal Specialists Limit Additional Advanced Imaging in Suspected Hip Fractures?. The Journal of Hip Surgery 07:01, pages 030-034.
Crossref
Jakub Oronowicz, Christophe Ley, Milena Pachowsky, Romain Seil & Thomas Tischer. (2023) Möglichkeiten und Perspektiven zum Einsatz der künstlichen Intelligenz in der Sportorthopädie. Sports Orthopaedics and Traumatology 39:1, pages 4-10.
Crossref
Johnathan R. Lex, Joseph Di Michele, Robert Koucheki, Daniel Pincus, Cari Whyne & Bheeshma Ravi. (2023) Artificial Intelligence for Hip Fracture Detection and Outcome Prediction. JAMA Network Open 6:3, pages e233391.
Crossref
Ertuğrul Şahin & Haluk Berk. (2023) Orthopedic surgeons’ attitudes and expectations toward artificial intelligence: A national survey study. Journal of Surgery and Medicine 7:2, pages 151-155.
Crossref
Maximilian Hinz, Christoph Lutter, Ralf Mueller-Rath, Philipp Niemeyer, Oliver Miltner & Thomas Tischer. (2022) The German Arthroscopy Registry DART: what has happened after 5 years?. Knee Surgery, Sports Traumatology, Arthroscopy 31:1, pages 102-109.
Crossref
Yonghan Cha, Jung-Taek Kim, Chan-Ho Park, Jin-Woo Kim, Sang Yeob Lee & Jun-Il Yoo. (2022) Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review. Journal of Orthopaedic Surgery and Research 17:1.
Crossref
Lv Yang, Shan Gao, Pengfei Li, Jiancheng Shi & Fang Zhou. (2022) Recognition and Segmentation of Individual Bone Fragments with a Deep Learning Approach in CT Scans of Complex Intertrochanteric Fractures: A Retrospective Study. Journal of Digital Imaging 35:6, pages 1681-1689.
Crossref
Takaki Inoue, Satoshi Maki, Takeo Furuya, Yukio Mikami, Masaya Mizutani, Ikko Takada, Sho Okimatsu, Atsushi Yunde, Masataka Miura, Yuki Shiratani, Yuki Nagashima, Juntaro Maruyama, Yasuhiro Shiga, Kazuhide Inage, Sumihisa Orita, Yawara Eguchi & Seiji Ohtori. (2022) Automated fracture screening using an object detection algorithm on whole-body trauma computed tomography. Scientific Reports 12:1.
Crossref
Jasper Prijs, Zhibin Liao, Soheil Ashkani-Esfahani, Jakub Olczak, Max Gordon, Prakash Jayakumar, Paul C. Jutte, Ruurd L. Jaarsma, Frank F. A. IJpma & Job N. Doornberg. (2022) Artificial intelligence and computer vision in orthopaedic trauma. The Bone & Joint Journal 104-B:8, pages 911-914.
Crossref
Rachel Y. L. Kuo, Conrad Harrison, Terry-Ann Curran, Benjamin Jones, Alexander Freethy, David Cussons, Max Stewart, Gary S. Collins & Dominic Furniss. (2022) Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis. Radiology 304:1, pages 50-62.
Crossref
Christophe Nich, Julien Behr, Vincent Crenn, Nicolas Normand, Harold Mouchère & Gaspard d’Assignies. (2022) Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future. International Orthopaedics 46:5, pages 937-944.
Crossref
E. A. Murphy, B. Ehrhardt, C. L. Gregson, O. A. von Arx, A. Hartley, M. R. Whitehouse, M. S. Thomas, G. Stenhouse, T. J. S. Chesser, C. J. Budd & H. S. Gill. (2022) Machine learning outperforms clinical experts in classification of hip fractures. Scientific Reports 12:1.
Crossref
R. Kyle Martin, Solvejg Wastvedt, Ayoosh Pareek, Andreas Persson, Håvard Visnes, Anne Marie Fenstad, Gilbert Moatshe, Julian Wolfson, Martin Lind & Lars Engebretsen. (2022) Machine learning algorithm to predict anterior cruciate ligament revision demonstrates external validity. Knee Surgery, Sports Traumatology, Arthroscopy 30:2, pages 368-375.
Crossref
R. Kyle Martin, Christophe Ley, Ayoosh Pareek, Andreas Groll, Thomas Tischer & Romain Seil. (2021) Artificial intelligence and machine learning: an introduction for orthopaedic surgeons. Knee Surgery, Sports Traumatology, Arthroscopy 30:2, pages 361-364.
Crossref
JiHwan Lee & Seok Won Chung. (2022) Deep Learning for Orthopedic Disease Based on Medical Image Analysis: Present and Future. Applied Sciences 12:2, pages 681.
Crossref
Yoichi Sato, Yasuhiko Takegami, Takamune Asamoto, Yutaro Ono, Tsugeno Hidetoshi, Ryosuke Goto, Akira Kitamura & Seiwa Honda. (2021) Artificial intelligence improves the accuracy of residents in the diagnosis of hip fractures: a multicenter study. BMC Musculoskeletal Disorders 22:1.
Crossref
Sung Hye Kong & Chan Soo Shin. (2021) Applications of Machine Learning in Bone and Mineral Research. Endocrinology and Metabolism 36:5, pages 928-937.
Crossref
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. (2021) An increasing number of convolutional neural networks for fracture recognition and classification in orthopaedics. Bone & Joint Open 2:10, pages 879-885.
Crossref
Ryuuichi Nakahara. (2021) Artificial intelligence and orthopaedics整形外科領域におけるAI. Okayama Igakkai Zasshi (Journal of Okayama Medical Association) 133:1, pages 58-61.
Crossref