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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]
URL: https://www.wjgnet.com/2218-5836/full/v12/i9/685.htm
Number Citing Articles
1
Hua Wang, Jichong Ying, Jianlei Liu, Tianming Yu, Dichao Huang. Harnessing ResNet50 and SENet for enhanced ankle fracture identificationBMC Musculoskeletal Disorders 2024; 25(1) doi: 10.1186/s12891-024-07355-8
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Martinus Megalla, Alexander K. Hahn, Jordan A. Bauer, Jordan T. Windsor, Zachary T. Grace, Marissa A. Gedman, Robert A. Arciero. ChatGPT and Google Provide Mostly Excellent or Satisfactory Responses to the Most Frequently Asked Patient Questions Related to Rotator Cuff RepairArthroscopy, Sports Medicine, and Rehabilitation 2024; 6(5): 100963 doi: 10.1016/j.asmr.2024.100963
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Shuya Tanaka, Atsuyuki Inui, Yutaka Mifune, Hanako Nishimoto, Issei Shinohara, Takahiro Furukawa, Tatsuo Kato, Masaya Kusunose, Yutaka Ehara, Shunsaku Takigami, Ryosuke Kuroda. Dynamic Analysis of the Median Nerve in Carpal Tunnel Syndrome from Ultrasound Images Using the YOLOv5 Object Detection ModelApplied Sciences 2023; 13(24): 13256 doi: 10.3390/app132413256
4
Jeremy A. Dubin, Sandeep S. Bains, Zhongming Chen, Daniel Hameed, James Nace, Michael A. Mont, Ronald E. Delanois. Using a Google Web Search Analysis to Assess the Utility of ChatGPT in Total Joint ArthroplastyThe Journal of Arthroplasty 2023; 38(7): 1195 doi: 10.1016/j.arth.2023.04.007
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Taylor P. Stauffer, Billy I. Kim, Caitlin Grant, Samuel B. Adams, Albert T. Anastasio. Robotic Technology in Foot and Ankle Surgery: A Comprehensive ReviewSensors 2023; 23(2): 686 doi: 10.3390/s23020686
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Dirk Stengel, Johannes Wünscher, Luzi Dubs, Axel Ekkernkamp, Tobias Renkawitz. Evidenzbasierte Medizin versus Erfahrungsmedizin in Orthopädie und UnfallchirurgieDie Orthopädie 2023; 52(6): 435 doi: 10.1007/s00132-023-04382-6
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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 ImagesDiagnostics 2022; 12(3): 632 doi: 10.3390/diagnostics12030632
8
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 ChallengesFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.908873
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Chu-Wei Tian, Xiang-Xu Chen, Liu Shi, Huan-Yi Zhu, Guang-Chun Dai, Hui Chen, Yun-Feng Rui. Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patientsWorld Journal of Orthopedics 2023; 14(10): 741-754 doi: 10.5312/wjo.v14.i10.741
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Yifan Chen, Shengqun Zhang, Ning Tang, Daniel M. George, Tianlong Huang, JinPing Tang. Using Google web search to analyze and evaluate the application of ChatGPT in femoroacetabular impingement syndromeFrontiers in Public Health 2024; 12 doi: 10.3389/fpubh.2024.1412063
11
Edoardo Franceschetti, Pietro Gregori, Simone De Giorgi, Tommaso Martire, Pierangelo Za, Giuseppe Francesco Papalia, Giancarlo Giurazza, Umile Giuseppe Longo, Rocco Papalia. Machine learning can predict anterior elevation after reverse total shoulder arthroplasty: A new tool for daily outpatient clinic?MUSCULOSKELETAL SURGERY 2024; 108(2): 163 doi: 10.1007/s12306-023-00811-z
12
Sakshi Dhall, Abhishek Vaish, Raju Vaishya. Machine learning and deep learning for the diagnosis and treatment of ankylosing spondylitis- a scoping reviewJournal of Clinical Orthopaedics and Trauma 2024; 52: 102421 doi: 10.1016/j.jcot.2024.102421
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Ray Marks. Artificial Intelligence and Its Potential Application in Advancing Hip Osteoarthritis CareJournal of Orthopaedic Science and Research 2023; : 1 doi: 10.46889/JOSR.2023.4207
14
Fatemeh Arjmandnia, Ehsan Alimohammadi. The value of machine learning technology and artificial intelligence to enhance patient safety in spine surgery: a reviewPatient Safety in Surgery 2024; 18(1) doi: 10.1186/s13037-024-00393-0
15
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 IntelligenceOrthopedic Clinics of North America 2023; 54(2): 169 doi: 10.1016/j.ocl.2022.11.004
16
Thies J. N. van der Lelij, Willem Grootjans, Kevin J. Braamhaar, Pieter Bas de Witte. Automated Measurements of Long Leg Radiographs in Pediatric Patients: A Pilot Study to Evaluate an Artificial Intelligence-Based AlgorithmChildren 2024; 11(10): 1182 doi: 10.3390/children11101182
17
Chuwei Tian, Yucheng Gao, Chen Rui, Shengbo Qin, Liu Shi, Yunfeng Rui. Artificial intelligence in orthopaedic traumaEngMedicine 2024; 1(2): 100020 doi: 10.1016/j.engmed.2024.100020
18
Jun Wang, Xiying Ding, Yongxing Zhang, Xiao Ma, Chen Peng, Feng Lin, Yan Wu, Qing Zhang. Morphological Classification of Elbow Joints Based on Deep Learning with CT Images2024 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE International Conference on Robotics, Automation and Mechatronics (RAM) 2024; : 447 doi: 10.1109/CIS-RAM61939.2024.10673047
19
Mitsumasa Hida, Shinji Eto, Chikamune Wada, Kodai Kitagawa, Masakazu Imaoka, Misa Nakamura, Ryota Imai, Takanari Kubo, Takao Inoue, Keiko Sakai, Junya Orui, Fumie Tazaki, Masatoshi Takeda, Ayuna Hasegawa, Kota Yamasaka, Hidetoshi Nakao. Development of Hallux Valgus Classification Using Digital Foot Images with Machine LearningLife 2023; 13(5): 1146 doi: 10.3390/life13051146
20
Madhan Jeyaraman, Arulkumar Nallakumarasamy, Naveen Jeyaraman. Industry 5.0 in OrthopaedicsIndian Journal of Orthopaedics 2022; 56(10): 1694 doi: 10.1007/s43465-022-00712-6
21
Gage A. Guerra, Hayden L. Hofmann, Jonathan L. Le, Alexander M. Wong, Amir Fathi, Cory K. Mayfield, Frank A. Petrigliano, Joseph N. Liu. ChatGPT, Bard, and Bing Chat Are Large Language Processing Models That Answered Orthopaedic In-Training Examination Questions With Similar Accuracy to First-Year Orthopaedic Surgery ResidentsArthroscopy: The Journal of Arthroscopic & Related Surgery 2024;  doi: 10.1016/j.arthro.2024.08.023
22
Lorella Bottino, Marzia Settino, Mario Cannataro. Artificial Intelligence in Orthopaedic Surgery Made Easy2024; : 11 doi: 10.1007/978-3-031-70310-2_2
23
Avinesh Agarwalla, Yining Lu, Anna K. Reinholz, Erick M. Marigi, Joseph N. Liu, Joaquin Sanchez-Sotelo. Identifying clinically meaningful subgroups following open reduction and internal fixation for proximal humerus fractures: a risk stratification analysis for mortality and 30-day complications using machine learningJSES International 2024; 8(5): 932 doi: 10.1016/j.jseint.2024.04.015
24
Julie M. Parrott, Austen J. Parrott, Armaun D. Rouhi, J. Scott Parrott, Kristoffel R. Dumon. What We Are Missing: Using Machine Learning Models to Predict Vitamin C Deficiency in Patients with Metabolic and Bariatric SurgeryObesity Surgery 2023; 33(6): 1710 doi: 10.1007/s11695-023-06571-w
25
Oleg Titov, Andrey Bykanov, David Pitskhelauri. Neurosurgical skills analysis by machine learning models: systematic reviewNeurosurgical Review 2023; 46(1) doi: 10.1007/s10143-023-02028-x
26
Konrad Kwolek, Artur Gądek, Kamil Kwolek, Radek Kolecki, Henryk Liszka. Automated decision support for Hallux Valgus treatment options using anteroposterior foot radiographsWorld Journal of Orthopedics 2023; 14(11): 800-812 doi: 10.5312/wjo.v14.i11.800
27
Aakash K. Shah, Monish S. Lavu, Christian J. Hecht, Robert J. Burkhart, Atul F. Kamath. Understanding the use of artificial intelligence for implant analysis in total joint arthroplasty: a systematic reviewArthroplasty 2023; 5(1) doi: 10.1186/s42836-023-00209-z
28
Minh-Hieu Le, Thu-Thao Le, Phung Phi Tran. AI in Surgery: Navigating Trends and Managerial Implications Through Bibliometric and Text Mining OdysseySurgical Innovation 2024; 31(6): 630 doi: 10.1177/15533506241289481
29
Shanmathy Somasundaram, Felix D, Krishnamurithy Genasan, Tunku Kamarul, Hanumantha Rao Balaji Raghavendran. Implications of Biomaterials and Adipose-Derived Stem Cells in the Management of Calvarial Bone DefectsRegenerative Engineering and Translational Medicine 2024;  doi: 10.1007/s40883-024-00358-w
30
Aamir Amin, Swizel Ann Cardoso, Jenisha Suyambu, Hafiz Abdus Saboor, Rayner P Cardoso, Ali Husnain, Natasha Varghese Isaac, Haydee Backing, Dalia Mehmood, Maria Mehmood, Abdalkareem Nael Jameel Maslamani. Future of Artificial Intelligence in Surgery: A Narrative ReviewCureus 2024;  doi: 10.7759/cureus.51631
31
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 fracturesPhysical and Engineering Sciences in Medicine 2023; 46(1): 265 doi: 10.1007/s13246-023-01215-w
32
Jun Ho Chung, Damien Cannon, Matthew Gulbrandsen, Dheeraj Yalamanchili, Wesley P. Phipatanakul, Joseph Liu, Anirudh Gowd, Anthony Essilfie. Random forest identifies predictors of discharge destination following total shoulder arthroplastyJSES International 2024; 8(2): 317 doi: 10.1016/j.jseint.2023.04.003
33
Man-Soo Kim, Ryu-Kyoung Cho, Sung-Cheol Yang, Jae-Hyeong Hur, Yong In. Machine Learning for Detecting Total Knee Arthroplasty Implant Loosening on Plain RadiographsBioengineering 2023; 10(6): 632 doi: 10.3390/bioengineering10060632
34
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 OrthopaedicsJournal of Orthopaedics 2022; 32: 125 doi: 10.1016/j.jor.2022.06.001
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Madhan Jeyaraman, Harish V K Ratna, Naveen Jeyaraman, Aakaash Venkatesan, Swaminathan Ramasubramanian , Sankalp Yadav. Leveraging Artificial Intelligence and Machine Learning in Regenerative Orthopedics: A Paradigm Shift in Patient CareCureus 2023;  doi: 10.7759/cureus.49756
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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/repairPLOS ONE 2022; 17(11): e0276562 doi: 10.1371/journal.pone.0276562
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Shebin Tharakan, Brandon Klein, Lucas Bartlett, Aaron Atlas, Stephen A. Parada, Randy M. Cohn. Do ChatGPT and Google differ in answers to commonly asked patient questions regarding total shoulder and total elbow arthroplasty?Journal of Shoulder and Elbow Surgery 2024; 33(8): e429 doi: 10.1016/j.jse.2023.11.014
38
Sheridan Perry, Matthew Folkman, Takara O'Brien, Lauren A. Wilson, Eric Coyle, Raymond W. Liu, Charles T. Price, Victor A. Huayamave. Unaligned Hip Radiograph Assessment Utilizing Convolutional Neural Networks for the Assessment of Developmental Dysplasia of the HipJournal of Engineering and Science in Medical Diagnostics and Therapy 2024; 7(4) doi: 10.1115/1.4064988
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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 PseudarthrosentherapieDie Unfallchirurgie 2022; 125(8): 611 doi: 10.1007/s00113-022-01202-y
40
Yi-Chao Wu, Chao-Yun Chang, Yu-Tse Huang, Sung-Yuan Chen, Cheng-Hsuan Chen, Hsuan-Kai Kao. Artificial Intelligence Image Recognition System for Preventing Wrong-Site Upper Limb SurgeryDiagnostics 2023; 13(24): 3667 doi: 10.3390/diagnostics13243667
41
S Rajath, R A Archana, Kunaal Shivakumar, Kevin S Mathew, Mohit Krishna. Bone Tumour Detection and Classification Using Deep Learning Based on Computed Tomography2024 Second International Conference on Networks, Multimedia and Information Technology (NMITCON) 2024; : 1 doi: 10.1109/NMITCON62075.2024.10699180
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Emin Suha Dedeogullari, Ataberk Beydemir, Zeynep Beyza Arik, Mahmut Nedim Doral, Gazi Huri. Artificial Intelligence in Orthopaedic Surgery Made Easy2024; : 25 doi: 10.1007/978-3-031-70310-2_3
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Thompson Zhuang, Lauren M. Shapiro, Robin N. Kamal. Claims Database Research in Hand Surgery: From Data to BedsideThe Journal of Hand Surgery 2024;  doi: 10.1016/j.jhsa.2024.10.004
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S Santhiya, N Abinaya, P Jayadharshini, S Priyanka, S Keerthika, C Sharmila. Orthopedic patient analysis using machine learning techniquesJournal of Physics: Conference Series 2023; 2664(1): 012004 doi: 10.1088/1742-6596/2664/1/012004
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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 FusionWorld Neurosurgery 2022; 168: e223 doi: 10.1016/j.wneu.2022.09.090
46
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 hospitalPLOS ONE 2022; 17(11): e0277479 doi: 10.1371/journal.pone.0277479
47
Artificial Intelligence and Machine Learning in Prediction of Total Hip Arthroplasty Outcome: A Bibliographic ReviewE3S Web of Conferences 2023; 448: 02054 doi: 10.1051/e3sconf/202344802054