-
Send to Friends (0)
Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Supplementary Materials of This Article
Citation of this article
Corresponding Author of This Article
Checklist of Responsibilities for the Scientific Editor of This Article
Publishing Process of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (4184)
All Articles published online
|
Featured Article
|
Publishing Process of This Article
|
Sep 18, 2021 (publication date) through Mar 25, 2023
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Orthopedics
ISSN
2218-5836
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Lalehzarian SP, Gowd AK, Liu JN. Machine learning in orthopaedic surgery. World J Orthop 2021; 12(9): 685-699 [PMID: 34631452 DOI: 10.5312/wjo.v12.i9.685] |
|---|---|
| URL: | https://www.wjgnet.com/1948-5182/full/v12/i9/685.htm |
| Number | Citing Articles |
| 1 |
Issei Shinohara, Atsuyuki Inui, Yutaka Mifune, Hanako Nishimoto, Kohei Yamaura, Shintaro Mukohara, Tomoya Yoshikawa, Tatsuo Kato, Takahiro Furukawa, Yuichi Hoshino, Takehiko Matsushita, Ryosuke Kuroda. Diagnosis of Cubital Tunnel Syndrome Using Deep Learning on Ultrasonographic Images. Diagnostics 2022; 12(3): 632 doi: 10.3390/diagnostics12030632
|
| 2 |
Marie K. Reumann, Benedikt J. Braun, Maximilian M. Menger, Fabian Springer, Johann Jazewitsch, Tobias Schwarz, Andreas Nüssler, Tina Histing, Mika F. R. Rollmann. Künstliche Intelligenz und Ausblick auf Anwendungsfelder in der Pseudarthrosentherapie. Die Unfallchirurgie 2022; 125(8): 611 doi: 10.1007/s00113-022-01202-y
|
| 3 |
Xiaowen Zhou, Hua Wang, Chengyao Feng, Ruilin Xu, Yu He, Lan Li, Chao Tu. Emerging Applications of Deep Learning in Bone Tumors: Current Advances and Challenges. Frontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.908873
|
| 4 |
Michael A. Kurtz, Ruoyu Yang, Mohan S.R. Elapolu, Audrey C. Wessinger, William Nelson, Kazzandra Alaniz, Rahul Rai, Jeremy L. Gilbert. Predicting Corrosion Damage in the Human Body Using Artificial Intelligence. Orthopedic Clinics of North America 2023; 54(2): 169 doi: 10.1016/j.ocl.2022.11.004
|
| 5 |
Taekyeong Kim, Tae Sik Goh, Jung Sub Lee, Ji Hyun Lee, Hayeol Kim, Im Doo Jung. Transfer learning-based ensemble convolutional neural network for accelerated diagnosis of foot fractures. Physical and Engineering Sciences in Medicine 2023; 46(1): 265 doi: 10.1007/s13246-023-01215-w
|
| 6 |
Karthikeyan P. Iyengar, Eindere Zaw Pe, Janaranjan Jalli, Madapura K. Shashidhara, Vijay K. Jain, Abhishek Vaish, Raju Vaishya. Industry 5.0 technology capabilities in Trauma and Orthopaedics. Journal of Orthopaedics 2022; 32: 125 doi: 10.1016/j.jor.2022.06.001
|
| 7 |
Madhan Jeyaraman, Arulkumar Nallakumarasamy, Naveen Jeyaraman. Industry 5.0 in Orthopaedics. Indian Journal of Orthopaedics 2022; 56(10): 1694 doi: 10.1007/s43465-022-00712-6
|
| 8 |
Anirudh K. Gowd, Conor N. O’Neill, Ameen Barghi, Tadhg J. O’Gara, Jonathan J. Carmouche. Feasibility of Machine Learning in the Prediction of Short-Term Outcomes Following Anterior Cervical Discectomy and Fusion. World Neurosurgery 2022; 168: e223 doi: 10.1016/j.wneu.2022.09.090
|
| 9 |
Albert T. Anastasio, Bailey S. Zinger, Thomas J. Anastasio, Kathiravan Srinivasan. A novel application of neural networks to identify potentially effective combinations of biologic factors for enhancement of bone fusion/repair. PLOS ONE 2022; 17(11): e0276562 doi: 10.1371/journal.pone.0276562
|
| 10 |
Srinivasan Sridhar, Bradley Whitaker, Amy Mouat-Hunter, Bernadette McCrory, Faizan Iqbal. Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital. PLOS ONE 2022; 17(11): e0277479 doi: 10.1371/journal.pone.0277479
|
| 11 |
Taylor P. Stauffer, Billy I. Kim, Caitlin Grant, Samuel B. Adams, Albert T. Anastasio. Robotic Technology in Foot and Ankle Surgery: A Comprehensive Review. Sensors 2023; 23(2): 686 doi: 10.3390/s23020686
|