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Original Articles

Artificial intelligence for analyzing orthopedic trauma radiographs

Deep learning algorithms—are they on par with humans for diagnosing fractures?

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Pages 581-586 | Received 01 Mar 2017, Accepted 06 Jun 2017, Published online: 06 Jul 2017

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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.
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Santoshachandra Rao Karanam, Y. Srinivas & S. Chakravarty. (2023) A statistical model approach based on the Gaussian Mixture Model for the diagnosis and classification of bone fractures. International Journal of Healthcare Management 0:0, pages 1-12.
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Santoshachandra Rao Karanam, Y. Srinivas & S. Chakravarty. (2022) A systematic approach to diagnosis and categorization of bone fractures in X-Ray imagery. International Journal of Healthcare Management 0:0, pages 1-12.
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Georg Zdolsek, Yupei Chen, Hans-Peter Bögl, Chunliang Wang, Mischa Woisetschläger & Jörg Schilcher. (2021) Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures. Acta Orthopaedica 92:4, pages 394-400.
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Yutoku Yamada, Satoshi Maki, Shunji Kishida, Haruki Nagai, Junnosuke Arima, Nanako Yamakawa, Yasushi Iijima, Yuki Shiko, Yohei Kawasaki, Toshiaki Kotani, Yasuhiro Shiga, Kazuhide Inage, Sumihisa Orita, Yawara Eguchi, Hiroshi Takahashi, Takeshi Yamashita, Shohei Minami & Seiji Ohtori. (2020) Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs. Acta Orthopaedica 91:6, pages 699-704.
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Pishtiwan H S Kalmet, Sebastian Sanduleanu, Sergey Primakov, Guangyao Wu, Arthur Jochems, Turkey Refaee, Abdalla Ibrahim, Luca v. Hulst, Philippe Lambin & Martijn Poeze. (2020) Deep learning in fracture detection: a narrative review. Acta Orthopaedica 91:2, pages 215-220.
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Kaifeng Gan, Dingli Xu, Yimu Lin, Yandong Shen, Ting Zhang, Keqi Hu, Ke Zhou, Mingguang Bi, Lingxiao Pan, Wei Wu & Yunpeng Liu. (2019) Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments. Acta Orthopaedica 90:4, pages 394-400.
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Max Gordon. (2018) Tech-trends in orthopedics 2018. Acta Orthopaedica 89:5, pages 475-476.
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Seok Won Chung, Seung Seog Han, Ji Whan Lee, Kyung-Soo Oh, Na Ra Kim, Jong Pil Yoon, Joon Yub Kim, Sung Hoon Moon, Jieun Kwon, Hyo-Jin Lee, Young-Min Noh & Youngjun Kim. (2018) Automated detection and classification of the proximal humerus fracture by using deep learning algorithm. Acta Orthopaedica 89:4, pages 468-473.
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Hans E Berg. (2017) Will intelligent machine learning revolutionize orthopedic imaging?. Acta Orthopaedica 88:6, pages 577-577.
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Crossref
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Crossref
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Crossref
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Crossref
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Yiren Chen, Kunjin He, Bo Hao, Yiping Weng & Zhengming Chen. (2022) FractureNet: A 3D Convolutional Neural Network Based on the Architecture of m-Ary Tree for Fracture Type Identification. IEEE Transactions on Medical Imaging 41:5, pages 1196-1207.
Crossref
Hideki Hyodoh, Akiko Takeuchi, Kotaro Matoba, Manabu Murakami, Tomoko Matoba, Atsuko Saito & Shigeki Jin. (2022) Objective skull fracture evaluation by using the postmortem 3D-CT skull fracture score in fatal falls. Legal Medicine 56, pages 102048.
Crossref
Christos Kokkotis, Serafeim Moustakidis, Themistoklis Tsatalas, Charis Ntakolia, Georgios Chalatsis, Stylianos Konstadakos, Michael E. Hantes, Giannis Giakas & Dimitrios Tsaopoulos. (2022) Leveraging explainable machine learning to identify gait biomechanical parameters associated with anterior cruciate ligament injury. Scientific Reports 12:1.
Crossref
Asma Alzaid, Alice Wignall, Sanja Dogramadzi, Hemant Pandit & Sheng Quan Xie. (2022) Automatic detection and classification of peri-prosthetic femur fracture. International Journal of Computer Assisted Radiology and Surgery 17:4, pages 649-660.
Crossref
Jacek Lorkowski & Mieczyslaw Pokorski. (2022) In Silico Finite Element Modeling of Stress Distribution in Osteosynthesis after Pertrochanteric Fractures. Journal of Clinical Medicine 11:7, pages 1885.
Crossref
Shubhangi Chourasia, Ankit Tyagi, S. M. Pandey, R. S. Walia & Qasim Murtaza. (2022) Sustainability of Industry 6.0 in Global Perspective: Benefits and Challenges. MAPAN.
Crossref
Issei Shinohara, Atsuyuki Inui, Yutaka Mifune, Hanako Nishimoto, Kohei Yamaura, Shintaro Mukohara, Tomoya Yoshikawa, Tatsuo Kato, Takahiro Furukawa, Yuichi Hoshino, Takehiko Matsushita & Ryosuke Kuroda. (2022) Diagnosis of Cubital Tunnel Syndrome Using Deep Learning on Ultrasonographic Images. Diagnostics 12:3, pages 632.
Crossref
Brian Cho, Eric Geng, Varun Arvind, Aly A. Valliani, Justin E. Tang, John Schwartz, Calista Dominy, Samuel K. Cho & Jun S. Kim. (2022) Understanding Artificial Intelligence and Predictive Analytics. JBJS Reviews 10:3.
Crossref
Junzhong Zhang, Zhiwei Li, Shixing Yan, Hui Cao, Jing Liu & Dejian Wei. (2022) An Algorithm for Automatic Rib Fracture Recognition Combined with nnU-Net and DenseNet. Evidence-Based Complementary and Alternative Medicine 2022, pages 1-9.
Crossref
Takeshi Suzuki, Satoshi Maki, Takahiro Yamazaki, Hiromasa Wakita, Yasunari Toguchi, Manato Horii, Tomonori Yamauchi, Koui Kawamura, Masaaki Aramomi, Hiroshi Sugiyama, Yusuke Matsuura, Takeshi Yamashita, Sumihisa Orita & Seiji Ohtori. (2021) Detecting Distal Radial Fractures from Wrist Radiographs Using a Deep Convolutional Neural Network with an Accuracy Comparable to Hand Orthopedic Surgeons. Journal of Digital Imaging 35:1, pages 39-46.
Crossref
YiRang Shin, Sungjun Kim & Young Han Lee. (2021) AI musculoskeletal clinical applications: how can AI increase my day-to-day efficiency?. Skeletal Radiology 51:2, pages 293-304.
Crossref
Emre Ozkaya, Fatih Esad Topal, Tugrul Bulut, Merve Gursoy, Mustafa Ozuysal & Zeynep Karakaya. (2020) Evaluation of an artificial intelligence system for diagnosing scaphoid fracture on direct radiography. European Journal of Trauma and Emergency Surgery 48:1, pages 585-592.
Crossref
Jinming Liu, Jiayi Wu, Anran Liu, Yannan Bai, Hong Zhang & Maolin Yan. (2022) Preoperative diagnosis of hepatocellular carcinoma patients with bile duct tumor thrombus using deep learning method. JUSTC 52:12, pages 6.
Crossref
Yiwei Wang, Ruiqi Li & Pengfei Zheng. (2022) Progress in clinical application of artificial intelligence in orthopedics. Digital Medicine 8:1, pages 4.
Crossref
Jahangir Jabbar, Muzammil Hussain, Hassaan Malik, Abdullah Gani, Ali Haider Khan & Muhammad Shiraz. (2022) Deep Learning Based Classification of Wrist Cracks from X-ray Imaging. Computers, Materials & Continua 73:1, pages 1827-1844.
Crossref
Aaron T. Hui, Leila M. Alvandi, Ananth S. Eleswarapu & Eric D. Fornari. (2022) Artificial Intelligence in Modern Orthopaedics. JBJS Reviews 10:10.
Crossref
Naoya Inagaki, Norio Nakata, Sina Ichimori, Jun Udaka, Ayano Mandai & Mitsuru Saito. (2022) Detection of Sacral Fractures on Radiographs Using Artificial Intelligence. JBJS Open Access 7:3.
Crossref
Abdulhamit Subasi, Siba Smarak Panigrahi, Bhalchandra Sunil Patil, M. Abdullah Canbaz & Riku Klén. 2022. 5G IoT and Edge Computing for Smart Healthcare. 5G IoT and Edge Computing for Smart Healthcare 195 229 .
Milind C. Tote & Shrikant V. Sonekar. 2022. Computational Intelligence in Pattern Recognition. Computational Intelligence in Pattern Recognition 195 204 .
Federico Cabitza, Andrea Campagner, Lorenzo Famiglini, Enrico Gallazzi & Giovanni Andrea La Maida. 2022. Machine Learning and Knowledge Extraction. Machine Learning and Knowledge Extraction 31 50 .
Malvika Rath, P. Sai Dinesh Reddy & Sanjay Kumar Singh. 2022. Second International Conference on Image Processing and Capsule Networks. Second International Conference on Image Processing and Capsule Networks 107 117 .
Roshana Mehdian & Matthew Howard. 2022. Artificial Intelligence in Medicine. Artificial Intelligence in Medicine 873 886 .
Franko Hržić, Michael Janisch, Ivan Štajduhar, Jonatan Lerga, Erich Sorantin & Sebastian Tschauner. (2021) Modeling Uncertainty in Fracture Age Estimation from Pediatric Wrist Radiographs. Mathematics 9:24, pages 3227.
Crossref
Ines Foessl, J. H. Duncan Bassett, Åshild Bjørnerem, Björn Busse, Ângelo Calado, Pascale Chavassieux, Maria Christou, Eleni Douni, Imke A. K. Fiedler, João Eurico Fonseca, Eva Hassler, Wolfgang Högler, Erika Kague, David Karasik, Patricia Khashayar, Bente L. Langdahl, Victoria D. Leitch, Philippe Lopes, Georgios Markozannes, Fiona E. A. McGuigan, Carolina Medina-Gomez, Evangelia Ntzani, Ling Oei, Claes Ohlsson, Pawel Szulc, Jonathan H. Tobias, Katerina Trajanoska, Şansın Tuzun, Amina Valjevac, Bert van Rietbergen, Graham R. Williams, Tatjana Zekic, Fernando Rivadeneira & Barbara Obermayer-Pietsch. (2021) Bone Phenotyping Approaches in Human, Mice and Zebrafish – Expert Overview of the EU Cost Action GEMSTONE (“GEnomics of MusculoSkeletal traits TranslatiOnal NEtwork”). Frontiers in Endocrinology 12.
Crossref
Lia Rigamonti, Katharina Estel, Tobias Gehlen, Bernd Wolfarth, James B. Lawrence & David A. Back. (2021) Use of artificial intelligence in sports medicine: a report of 5 fictional cases. BMC Sports Science, Medicine and Rehabilitation 13:1.
Crossref
Kunihiro Oka, Ryoya Shiode, Yuichi Yoshii, Hiroyuki Tanaka, Toru Iwahashi & Tsuyoshi Murase. (2021) Artificial intelligence to diagnosis distal radius fracture using biplane plain X-rays. Journal of Orthopaedic Surgery and Research 16:1.
Crossref
Cheng Li, Lei Wang, Carsten Perka & Andrej Trampuz. (2021) Clinical application of robotic orthopedic surgery: a bibliometric study. BMC Musculoskeletal Disorders 22:1.
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
A. Sasidhar & M. S. Thanabal. (2021) Comparative Analysis of Deep Convolutional Neural Network Models for Humerus Bone Fracture Detection. Journal of Medical Imaging and Health Informatics 11:12, pages 3117-3122.
Crossref
Valentina Pedoia, Francesco Caliva, Galateia Kazakia, Andrew J. Burghardt & Sharmila Majumdar. (2021) Augmenting Osteoporosis Imaging with Machine Learning. Current Osteoporosis Reports 19:6, pages 699-709.
Crossref
Yuan Li, Yang Zhang, Enlong Zhang, Yongye Chen, Qizheng Wang, Ke Liu, Hon J. Yu, Huishu Yuan, Ning Lang & Min-Ying Su. (2021) Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning. European Radiology 31:12, pages 9612-9619.
Crossref
Kaan Orhan, Gokhan Yazici, Mehmet Eray Kolsuz, Nihan Kafa, Ibrahim Sevki Bayrakdar & Özer Çelik. (2021) An Artificial Intelligence Hypothetical Approach for Masseter Muscle Segmentation on Ultrasonography in Patients With Bruxism. Journal of Advanced Oral Research 12:2, pages 206-213.
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
Jeong Yeop Ryu, Ho Yun Chung & Kang Young Choi. (2021) Potential role of artificial intelligence in craniofacial surgery. Archives of Craniofacial Surgery 22:5, pages 223-231.
Crossref
Joanna F. Dipnall, Richard Page, Lan Du, Matthew Costa, Ronan A. Lyons, Peter Cameron, Richard de Steiger, Raphael Hau, Andrew Bucknill, Andrew Oppy, Elton Edwards, Dinesh Varma, Myong Chol Jung & Belinda J. Gabbe. (2021) Predicting fracture outcomes from clinical registry data using artificial intelligence supplemented models for evidence-informed treatment (PRAISE) study protocol. PLOS ONE 16:9, pages e0257361.
Crossref
Ji-Hun Kim, Yong-Cheol Mo, Seung-Myung Choi, Youk Hyun & Jung Woo Lee. (2021) Detecting Ankle Fractures in Plain Radiographs Using Deep Learning with Accurately Labeled Datasets Aided by Computed Tomography: A Retrospective Observational Study. Applied Sciences 11:19, pages 8791.
Crossref
Simon P Lalehzarian, Anirudh K Gowd & Joseph N Liu. (2021) Machine learning in orthopaedic surgery. World Journal of Orthopedics 12:9, pages 685-699.
Crossref
Yu-Cheng Tung, Ja-Hwung Su, Yi-Wen Liao, Ching-Di Chang, Yu-Fan Cheng, Wan-Ching Chang & Bo-Hong Chen. (2021) High-Performance Scaphoid Fracture Recognition via Effectiveness Assessment of Artificial Neural Networks. Applied Sciences 11:18, pages 8485.
Crossref
Peixu Wang, Xingyu Liu, Jia Xu, Tengqi Li, Wei Sun, Zirong Li, Fuqiang Gao, Lijun Shi, Zhizhuo Li, Xinjie Wu, Xin Xu, Xiaoyu Fan, Chengxin Li, Yiling Zhang & Yicheng An. (2021) Deep learning for diagnosing osteonecrosis of the femoral head based on magnetic resonance imaging. Computer Methods and Programs in Biomedicine 208, pages 106229.
Crossref
Patrick Tobler, Joshy Cyriac, Balazs K. Kovacs, Verena Hofmann, Raphael Sexauer, Fabiano Paciolla, Bram Stieltjes, Felix Amsler & Anna Hirschmann. (2021) AI-based detection and classification of distal radius fractures using low-effort data labeling: evaluation of applicability and effect of training set size. European Radiology 31:9, pages 6816-6824.
Crossref
Gene Kitamura. (2021) Hanging protocol optimization of lumbar spine radiographs with machine learning. Skeletal Radiology 50:9, pages 1809-1819.
Crossref
Xiang Hong Meng, Di Jia Wu, Zhi Wang, Xin Long Ma, Xiao Man Dong, Ai E Liu & Lei Chen. (2021) A fully automated rib fracture detection system on chest CT images and its impact on radiologist performance. Skeletal Radiology 50:9, pages 1821-1828.
Crossref
Isla Duporge, Olga Isupova, Steven Reece, David W. Macdonald & Tiejun Wang. (2020) Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes. Remote Sensing in Ecology and Conservation 7:3, pages 369-381.
Crossref
Wesley M. Durand, Renaud Lafage, D. Kojo Hamilton, Peter G. Passias, Han Jo Kim, Themistocles Protopsaltis, Virginie Lafage, Justin S. Smith, Christopher Shaffrey, Munish Gupta, Michael P. Kelly, Eric O. Klineberg, Frank Schwab, Jeffrey L. Gum, Gregory Mundis, Robert Eastlack, Khaled Kebaish, Alex Soroceanu, Richard A. Hostin, Doug Burton, Shay Bess, Christopher Ames, Robert A. Hart & Alan H. Daniels. (2021) Artificial intelligence clustering of adult spinal deformity sagittal plane morphology predicts surgical characteristics, alignment, and outcomes. European Spine Journal 30:8, pages 2157-2166.
Crossref
Xinliang Zhou & Shantian Wen. (2021) Analysis of Body Behavior Characteristics after Sports Training Based on Convolution Neural Network. Computational Intelligence and Neuroscience 2021, pages 1-10.
Crossref
Maria Amodeo, Vincenzo Abbate, Pasquale Arpaia, Renato Cuocolo, Giovanni Dell’Aversana Orabona, Monica Murero, Marco Parvis, Roberto Prevete & Lorenzo Ugga. (2021) Transfer Learning for an Automated Detection System of Fractures in Patients with Maxillofacial Trauma. Applied Sciences 11:14, pages 6293.
Crossref
J.E. Small, P. Osler, A.B. Paul & M. Kunst. (2021) CT Cervical Spine Fracture Detection Using a Convolutional Neural Network. American Journal of Neuroradiology 42:7, pages 1341-1347.
Crossref
Jason CorbanJustin-Pierre LorangeCarl LaverdiereJason KhouryGil RachevskyMark BurmanPaul Andre Martineau. (2021) Artificial Intelligence in the Management of Anterior Cruciate Ligament Injuries. Orthopaedic Journal of Sports Medicine 9:7, pages 232596712110142.
Crossref
Yi-Chu Li, Hung-Hsun Chen, Henry Horng-Shing Lu, Hung-Ta Hondar Wu, Ming-Chau Chang & Po-Hsin Chou. (2021) Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists?. Clinical Orthopaedics & Related Research 479:7, pages 1598-1612.
Crossref
Michael P. Murphy & Nicholas M. Brown. (2021) CORR Synthesis: When Should the Orthopaedic Surgeon Use Artificial Intelligence, Machine Learning, and Deep Learning?. Clinical Orthopaedics & Related Research 479:7, pages 1497-1505.
Crossref
Katharina Nagassima Rodrigues dos Reis, Shane Evans, Jake M. McDonnell, Daniel P. Ahern & Joseph S. Butler. (2021) Artificial Intelligence and the Future of Spine Surgery. Clinical Spine Surgery: A Spine Publication 34:6, pages 216-219.
Crossref
Riel Castro-Zunti, Kum Ju Chae, Younhee Choi, Gong Yong Jin & Seok-bum Ko. (2021) Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification. Computerized Medical Imaging and Graphics 91, pages 101937.
Crossref
Berker BAYDAN & Halil Murat ÜNVER. (2021) Detection of tibial fractures in cats and dogs with deep learning. Ankara Üniversitesi Veteriner Fakültesi Dergisi 68:3, pages 283-290.
Crossref
Min Woong Kim, Jaewon Jung, Se Jin Park, Young Sun Park, Jeong Hyeon Yi, Won Seok Yang, Jin Hyuck Kim, Bum-Joo Cho & Sang Ook Ha. (2021) Application of convolutional neural networks for distal radio-ulnar fracture detection on plain radiographs in the emergency room. Clinical and Experimental Emergency Medicine 8:2, pages 120-127.
Crossref
Guillaume Reichert, Ali Bellamine, Matthieu Fontaine, Beatrice Naipeanu, Adrien Altar, Elodie Mejean, Nicolas Javaud & Nathalie Siauve. (2021) How Can a Deep Learning Algorithm Improve Fracture Detection on X-rays in the Emergency Room?. Journal of Imaging 7:7, pages 105.
Crossref
Ibrahem Kandel, Mauro Castelli & Aleš Popovič. (2021) Comparing Stacking Ensemble Techniques to Improve Musculoskeletal Fracture Image Classification. Journal of Imaging 7:6, pages 100.
Crossref
Hamid Ghaednia, Amanda Lans, Nicholas Sauder, David Shin, William G. Grant, Rohan R. Chopra, Jacobien H.F. Oosterhoff, Mitchell S. Fourman, Joseph H. Schwab & Daniel G. Tobert. (2021) Deep learning in spine surgery. Seminars in Spine Surgery 33:2, pages 100876.
Crossref
Lara Rimmer, Callum Howard, Leonardo Picca & Mohamad Bashir. (2020) The automaton as a surgeon: the future of artificial intelligence in emergency and general surgery. European Journal of Trauma and Emergency Surgery 47:3, pages 757-762.
Crossref
Haseeb Sultan, Muhammad Owais, Chanhum Park, Tahir Mahmood, Adnan Haider & Kang Ryoung Park. (2021) Artificial Intelligence-Based Recognition of Different Types of Shoulder Implants in X-ray Scans Based on Dense Residual Ensemble-Network for Personalized Medicine. Journal of Personalized Medicine 11:6, pages 482.
Crossref
Alfred P. Yoon, Yi-Lun Lee, Robert L. Kane, Chang-Fu Kuo, Chihung Lin & Kevin C. Chung. (2021) Development and Validation of a Deep Learning Model Using Convolutional Neural Networks to Identify Scaphoid Fractures in Radiographs. JAMA Network Open 4:5, pages e216096.
Crossref
Michael J. Gutman, Gregory D. Schroeder, Hamadi Murphy, Adam E. Flanders & Alexander R. Vaccaro. (2021) Artificial Intelligence in Spine Care. Clinical Spine Surgery: A Spine Publication 34:4, pages 121-124.
Crossref
Koray Açıcı, Emre Sümer & Salih Beyaz. (2021) Comparison of different machine learning approaches to detect femoral neck fractures in x-ray images. Health and Technology 11:3, pages 643-653.
Crossref
Alireza Borjali, Antonia F. Chen, Hany S. Bedair, Christopher M. Melnic, Orhun K. Muratoglu, Mohammad A. Morid & Kartik M. Varadarajan. (2021) Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs. Medical Physics 48:5, pages 2327-2336.
Crossref
Julien Smets, Enisa Shevroja, Thomas Hügle, William D Leslie & Didier Hans. (2021) Machine Learning Solutions for Osteoporosis—A Review. Journal of Bone and Mineral Research 36:5, pages 833-851.
Crossref
Nora Suojärvi, Juha Tampio, Nina Lindfors & Eero Waris. (2020) Computer‐aided 3D analysis of anatomy and radiographic parameters of the distal radius . Clinical Anatomy 34:4, pages 574-580.
Crossref
Franca Dipaola, Dana Shiffer, Mauro Gatti, Roberto Menè, Monica Solbiati & Raffaello Furlan. (2021) Machine Learning and Syncope Management in the ED: The Future Is Coming. Medicina 57:4, pages 351.
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
Christophe Karam, Julia El Zini, Mariette Awad, Charbel Saade, Lena Naffaa & Mohammad El Amine. (2021) A Progressive and Cross-Domain Deep Transfer Learning Framework for Wrist Fracture Detection. Journal of Artificial Intelligence and Soft Computing Research 12:2, pages 101-120.
Crossref
Anna Lind, Ehsan Akbarian, Simon Olsson, Hans Nåsell, Olof Sköldenberg, Ali Sharif Razavian & Max Gordon. (2021) Artificial intelligence for the classification of fractures around the knee in adults according to the 2018 AO/OTA classification system. PLOS ONE 16:4, pages e0248809.
Crossref
Sylvain Guy, Christophe Jacquet, Damien Tsenkoff, Jean-Noël Argenson & Matthieu Ollivier. (2021) Le Deep Learning pour l’aide au diagnostic radiographique des fractures de l’extrémité proximale du fémur : limites et difficultés de programmation. Revue de Chirurgie Orthopédique et Traumatologique 107:2, pages 204-209.
Crossref
Sylvain Guy, Christophe Jacquet, Damien Tsenkoff, Jean-Noël Argenson & Matthieu Ollivier. (2021) Deep learning for the radiographic diagnosis of proximal femur fractures: Limitations and programming issues. Orthopaedics & Traumatology: Surgery & Research 107:2, pages 102837.
Crossref
Surabhi Bhatt, Adam Cohon, Jenna Rose, Natalia Majerczyk, Brian Cozzi, Drew Crenshaw & Griffin Myers. (2021) Interpretable Machine Learning Models for Clinical Decision-Making in a High-Need, Value-Based Primary Care Setting. NEJM Catalyst 2:4.
Crossref
Kristine A. HuynhAlfred P. YoonYu ZhouKevin C. Chung. (2021) Bayesian Statistics to Estimate Diagnostic Probability of Scaphoid Fractures from Clinical Examinations: A Meta-Analysis. Plastic & Reconstructive Surgery 147:3, pages 424e-435e.
Crossref
Irene Dankwa‐Mullan, Xinzhi Zhang, Phuong‐Tu Le & William T. Riley. 2021. The Science of Health Disparities Research. The Science of Health Disparities Research 221 242 .
Scott J. Adams, Robert D. E. Henderson, Xin Yi & Paul Babyn. (2020) Artificial Intelligence Solutions for Analysis of X-ray Images. Canadian Association of Radiologists Journal 72:1, pages 60-72.
Crossref
David Dreizin, Florian Goldmann, Christina LeBedis, Alexis Boscak, Matthew Dattwyler, Uttam Bodanapally, Guang Li, Stephan Anderson, Andreas Maier & Mathias Unberath. (2021) An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT. Journal of Digital Imaging 34:1, pages 53-65.
Crossref
Hui-Zhao Wu, Li-Feng Yan, Xiao-Qing Liu, Yi-Zhou Yu, Zuo-Jun Geng, Wen-Juan Wu, Chun-Qing Han, Yong-Qin Guo & Bu-Lang Gao. (2021) The Feature Ambiguity Mitigate Operator model helps improve bone fracture detection on X-ray radiograph. Scientific Reports 11:1.
Crossref
Jared Geller, Ineabelle Collazo, Raghav Pai, Nicholas Hendon, SoumD Lokeshwar, Himanshu Arora, Manuel Molina & Ranjith Ramasamy. (2021) An artificial intelligence-based algorithm for predicting pregnancy success using static images captured by optical light microscopy during intracytoplasmic sperm injection. Journal of Human Reproductive Sciences 14:3, pages 288.
Crossref
Xiaoqing Liu, Kunlun Gao, Bo Liu, Chengwei Pan, Kongming Liang, Lifeng Yan, Jiechao Ma, Fujin He, Shu Zhang, Siyuan Pan & Yizhou Yu. (2021) Advances in Deep Learning-Based Medical Image Analysis. Health Data Science 2021.
Crossref
Lin Mu, Taiping Qu, Dong Dong, Xiuli Li, Yun Pei, Yuchong Wang, Guangyao Shi, Yongrui Li, Fujin He & Huimao Zhang. (2021) Fine-Tuned Deep Convolutional Networks for the Detection of Femoral Neck Fractures on Pelvic Radiographs: A Multicenter Dataset Validation. IEEE Access 9, pages 78495-78503.
Crossref
Paul H. Yi, Craig J. Della Valle, Elliot K. Fishman & Jan Fritz. (2021) Imaging of Periprosthetic Fractures of the Hip and Knee. Seminars in Roentgenology 56:1, pages 90-105.
Crossref
Clare Rainey, Jonathan McConnell, Ciara Hughes, Raymond Bond & Sonyia McFadden. (2021) Artificial intelligence for diagnosis of fractures on plain radiographs: A scoping review of current literature. Intelligence-Based Medicine 5, pages 100033.
Crossref
Kenneth Jian Wei Tang, Candice Ke En Ang, Theodoros Constantinides, V. Rajinikanth, U. Rajendra Acharya & Kang Hao Cheong. (2021) Artificial Intelligence and Machine Learning in Emergency Medicine. Biocybernetics and Biomedical Engineering 41:1, pages 156-172.
Crossref
Ruben Pauwels. (2020) A brief introduction to concepts and applications of artificial intelligence in dental imaging. Oral Radiology 37:1, pages 153-160.
Crossref
Roshana Mehdian & Matthew Howard. 2020. Artificial Intelligence in Medicine. Artificial Intelligence in Medicine 1 14 .
Mayur Pankhania. (2020) Artificial Intelligence in Musculoskeletal Radiology: Past, Present, and Future. Indian Journal of Musculoskeletal Radiology 2, pages 89-96.
Crossref
Smaranjit Ghose, Suhrid Datta, Vineet Batta, C. Malathy & Gayathri M. (2020) Artificial Intelligence based identification of Total Knee Arthroplasty Implants. Artificial Intelligence based identification of Total Knee Arthroplasty Implants.
Chi-Tung Cheng, Chih-Chi Chen, Chih-Yuan Fu, Chung-Hsien Chaou, Yu-Tung Wu, Chih-Po Hsu, Chih-Chen Chang, I-Fang Chung, Chi-Hsun Hsieh, Ming-Ju Hsieh & Chien-Hung Liao. (2020) Artificial intelligence-based education assists medical students’ interpretation of hip fracture. Insights into Imaging 11:1.
Crossref
Ruurd L. Jaarsma. (2020) CORR Insights®: What Are the Interobserver and Intraobserver Variability of Gap and Stepoff Measurements in Acetabular Fractures?. Clinical Orthopaedics & Related Research 478:12, pages 2809-2811.
Crossref
Olivier Q. Groot, Michiel E. R. Bongers, Paul T. Ogink, Joeky T. Senders, Aditya V. Karhade, Jos A. M. Bramer, Jorrit-Jan Verlaan & Joseph H. Schwab. (2020) Does Artificial Intelligence Outperform Natural Intelligence in Interpreting Musculoskeletal Radiological Studies? A Systematic Review. Clinical Orthopaedics & Related Research 478:12, pages 2751-2764.
Crossref
Leonardo Tanzi, Enrico Vezzetti, Rodrigo Moreno, Alessandro Aprato, Andrea Audisio & Alessandro Massè. (2020) Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach. European Journal of Radiology 133, pages 109373.
Crossref
Richard Kijowski, Fang Liu, Francesco Caliva & Valentina Pedoia. (2019) Deep Learning for Lesion Detection, Progression, and Prediction of Musculoskeletal Disease. Journal of Magnetic Resonance Imaging 52:6, pages 1607-1619.
Crossref
Nithin Kolanu, Elizabeth J Silverstone, Bao H Ho, Hiep Pham, Ash Hansen, Emma Pauley, Anna R Quirk, Sarah C Sweeney, Jacqueline R Center & Nicholas A Pocock. (2020) Clinical Utility of Computer‐Aided Diagnosis of Vertebral Fractures From Computed Tomography Images. Journal of Bone and Mineral Research 35:12, pages 2307-2312.
Crossref
Chi-Tung Cheng, Chih-Chi Chen, Fu-Jen Cheng, Huan-Wu Chen, Yi-Siang Su, Chun-Nan Yeh, I-Fang Chung & Chien-Hung Liao. (2020) A Human-Algorithm Integration System for Hip Fracture Detection on Plain Radiography: System Development and Validation Study. JMIR Medical Informatics 8:11, pages e19416.
Crossref
Desirae McKee. (2020) CORR Insights®: Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?. Clinical Orthopaedics & Related Research 478:11, pages 2660-2662.
Crossref
David W. G. Langerhuizen, Anne Eva J. Bulstra, Stein J. Janssen, David Ring, Gino M. M. J. Kerkhoffs, Ruurd L. Jaarsma & Job N. Doornberg. (2020) Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?. Clinical Orthopaedics & Related Research 478:11, pages 2653-2659.
Crossref
Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O’Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis G. Potter & Robert V. Lindsey. (2020) Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs. npj Digital Medicine 3:1.
Crossref
Wanbo Zhu, Xianzuo Zhang, Shiyuan Fang, Bing Wang & Chen Zhu. (2020) Deep Learning Improves Osteonecrosis Prediction of Femoral Head After Internal Fixation Using Hybrid Patient and Radiograph Variables. Frontiers in Medicine 7.
Crossref
Jacobien H.F. Oosterhoff & Job N. Doornberg. (2020) Artificial intelligence in orthopaedics: false hope or not? A narrative review along the line of Gartner’s hype cycle. EFORT Open Reviews 5:10, pages 593-603.
Crossref
Shukai Wu, Lifeng Yan, Xiaoqing Liu, Yizhou Yu & Sanyuan Zhang. (2020) An End-To-End Network For Detecting Multi-Domain Fractures On X-Ray Images. An End-To-End Network For Detecting Multi-Domain Fractures On X-Ray Images.
Paul H. Yi, Tae Kyung Kim, Jinchi Wei, Xinning Li, Gregory D. Hager, Haris I. Sair & Jan Fritz. (2020) Automated detection and classification of shoulder arthroplasty models using deep learning. Skeletal Radiology 49:10, pages 1623-1632.
Crossref
Ozhan PAZARCI, Yunus TORUN & Serkan AKKOYUN. (2020) Estimation of the future fracture epidemiology in the patients applying to the emergency department with long short time memory method. Cumhuriyet Science Journal 41:3, pages 741-746.
Crossref
Yasunari Miyagi, Toshihiro Habara, Rei Hirata & Nobuyoshi Hayashi. (2020) Predicting a live birth by artificial intelligence incorporating both the blastocyst image and conventional embryo evaluation parameters. Artificial Intelligence in Medical Imaging 1:3, pages 87-93.
Crossref
Yasunari Miyagi, Toshihiro Habara, Rei Hirata & Nobuyoshi Hayashi. (2020) Predicting a live birth by artificial intelligence incorporating both the blastocyst image and conventional embryo evaluation parameters. Artificial Intelligence in Medical Imaging 1:3, pages 94-107.
Crossref
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