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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] [Cited by in CrossRef: 11] [Cited by in F6Publishing: 10] [Article Influence: 5.5] [Reference Citation Analysis]
Number Citing Articles
1 Kurtz MA, Yang R, Elapolu MSR, Wessinger AC, Nelson W, Alaniz K, Rai R, Gilbert JL. Predicting Corrosion Damage in the Human Body Using Artificial Intelligence: In Vitro Progress and Future Applications. Orthop Clin North Am 2023;54:169-92. [PMID: 36894290 DOI: 10.1016/j.ocl.2022.11.004] [Reference Citation Analysis]
2 Kim T, Goh TS, Lee JS, Lee JH, Kim H, Jung ID. Transfer learning-based ensemble convolutional neural network for accelerated diagnosis of foot fractures. Phys Eng Sci Med 2023;46:265-77. [PMID: 36625995 DOI: 10.1007/s13246-023-01215-w] [Reference Citation Analysis]
3 Stauffer TP, Kim BI, Grant C, Adams SB, Anastasio AT. Robotic Technology in Foot and Ankle Surgery: A Comprehensive Review. Sensors (Basel) 2023;23. [PMID: 36679483 DOI: 10.3390/s23020686] [Reference Citation Analysis]
4 Sridhar S, Whitaker B, Mouat-hunter A, Mccrory B. Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital. PLoS ONE 2022;17:e0277479. [DOI: 10.1371/journal.pone.0277479] [Reference Citation Analysis]
5 Albert T. Anastasio, Bailey S. Zinger, Thomas J. Anastasio. A novel application of neural networks to identify potentially effective combinations of biologic factors for enhancement of bone fusion/repair. PLoS One 2022;17:e0276562. [PMID: 36318539 DOI: 10.1371/journal.pone.0276562] [Reference Citation Analysis]
6 Jeyaraman M, Nallakumarasamy A, Jeyaraman N. Industry 5.0 in Orthopaedics. Indian J Orthop 2022;56:1694-702. [PMID: 36187596 DOI: 10.1007/s43465-022-00712-6] [Reference Citation Analysis]
7 Reumann MK, Braun BJ, Menger MM, Springer F, Jazewitsch J, Schwarz T, Nüssler A, Histing T, Rollmann MFR. Künstliche Intelligenz und Ausblick auf Anwendungsfelder in der Pseudarthrosentherapie. Unfallchirurgie 2022;125:611-618. [DOI: 10.1007/s00113-022-01202-y] [Reference Citation Analysis]
8 Zhou X, Wang H, Feng C, Xu R, He Y, Li L, Tu C. Emerging Applications of Deep Learning in Bone Tumors: Current Advances and Challenges. Front Oncol 2022;12:908873. [DOI: 10.3389/fonc.2022.908873] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Iyengar KP, Zaw Pe E, Jalli J, Shashidhara MK, Jain VK, Vaish A, Vaishya R. Industry 5.0 technology capabilities in Trauma and Orthopaedics. Journal of Orthopaedics 2022. [DOI: 10.1016/j.jor.2022.06.001] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Shinohara I, Inui A, Mifune Y, Nishimoto H, Yamaura K, Mukohara S, Yoshikawa T, Kato T, Furukawa T, Hoshino Y, Matsushita T, Kuroda R. Diagnosis of Cubital Tunnel Syndrome Using Deep Learning on Ultrasonographic Images. Diagnostics 2022;12:632. [DOI: 10.3390/diagnostics12030632] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]