Artificial intelligence for fracture diagnosis in orthopedic X-rays: current developments and future potential
SICOT-J, 9 (2023) 21
Published online: 2023-07-06
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Do ChatGPT and Gemini Provide Appropriate Recommendations for Anterior Cruciate Ligament and Isolated Meniscal Injuries?
Suzanna M Ohlsen, Sarah B Pirkle, Jaewon Yang and Albert O GeeCureus (2025)
https://doi.org/10.7759/cureus.94315
Navigating the barriers and facilitators to implementation of AI in healthcare
Mohammed Khattak, James S. Bowness, Rusul Yonis, Patrick Kierkegaard, Alison McGregor and Daniel C. PerryThe Bone & Joint Journal 107-B (7) 666 (2025)
https://doi.org/10.1302/0301-620X.107B7.BJJ-2024-1570.R1
Integrating Artificial Intelligence and Virtual Reality in Orthopedic Surgery: A Comprehensive Review
Robert Koucheki, Johnathan R. Lex, Michael Brock and Danny P. GoelHSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery 21 (3) 289 (2025)
https://doi.org/10.1177/15563316251345479
External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study
Cato Pauling, Harsimran Laidlow-Singh, Emily Evans, David Garbera, Rosalind Williamson, Ranil Fernando, Kate Thomas, Helena Martin, Owen J. Arthurs and Susan C. ShelmerdineEuropean Radiology (2025)
https://doi.org/10.1007/s00330-025-11790-z
Evaluating the Efficacy of Convolutional Neural Networks for Bone Fracture Detection from X-ray Images
Hiren Kumar Mewada, Lingala Syam Sundar and Nandala Thippa Reddy Ravi KumarBiomedical and Pharmacology Journal 18 (2) 1297 (2025)
https://doi.org/10.13005/bpj/3169
Artificial intelligence in orthopedic trauma: a comprehensive review
Abdulhamit MisirInjury 56 (8) 112570 (2025)
https://doi.org/10.1016/j.injury.2025.112570
FEG-NET: Fuzzy Edge Guided Deep Learning Network for Classifying Proximal Humerus Fracture
E. P. Kannan, A. Ahilan, A. S. Srinivasa Rao and N. MuthukumaranIETE Journal of Research 1 (2025)
https://doi.org/10.1080/03772063.2025.2520294
Comparative Evaluation of LLMs in Orthopedic Surgery
Gnaneswar Chundi, Abhiram Dawar, Syed Sarwar, Sanjiv Prasad, Michael Vosbikian and Irfan AhmedJournal of Orthopaedic Reports 100728 (2025)
https://doi.org/10.1016/j.jorep.2025.100728
A multi-module enhanced YOLOv8 framework for accurate AO classification of distal radius fractures: SCFAST-YOLO
Yu Wang, Haifu Sun, Tiankai Jiang, JunFeng Shi, Qin Wang, Hongwei Yang and Yusen QiaoFrontiers in Medicine 12 (2025)
https://doi.org/10.3389/fmed.2025.1635016
Assessment of artificial intelligence-aided X-ray in diagnosis of bone fractures in emergency setting
Nesma Abdellatif, Aya El-Rawy, Ahmed Abdellatif and Mohammad Al-ShatouriEgyptian Journal of Radiology and Nuclear Medicine 56 (1) (2025)
https://doi.org/10.1186/s43055-025-01580-4
Optimizing the power of AI for fracture detection: from blind spots to breakthroughs
Shima Behzad, Liesl Eibschutz, Max Yang Lu and Ali GholamrezanezhadSkeletal Radiology 54 (10) 2007 (2025)
https://doi.org/10.1007/s00256-025-04951-0
Assessment of artificial intelligence-aided x-ray in diagnosis of bone fractures in emergency setting
Nesma Adel Mahmoud Abdellatif, Aya Shahat El-Rawy, Ahmed Reda Abdellattif and Mohammad Ahmad Al-ShatouriEgyptian Journal of Radiology and Nuclear Medicine 56 (1) (2025)
https://doi.org/10.1186/s43055-025-01575-1
Artificial Intelligence Has Varied Diagnostic and Predictive Performance in Diagnosing Patellofemoral Osteoarthritis, Trochlear Dysplasia and Patellofemoral Tracking: A Systematic Review
Jack Twomey-Kozak, Mikhail A. Bethell, Zoe Wiatt Hinton, Samuel Lorentz, Lucy Meyer, Alex Meyer, Eoghan Hurley, Damon V. Briggs, Kendall Bradley, Jocelyn Wittstein and Brian LauArthroscopy, Sports Medicine, and Rehabilitation 101269 (2025)
https://doi.org/10.1016/j.asmr.2025.101269
How Can Artificial Intelligence Help Avoid Mistakes in Musculoskeletal Imaging?
Marie Pauline Talabard, Nor-Eddine Regnard, Patrick Omoumi, Pedro Augusto Gondim Texeira and Antoine FeydySeminars in Musculoskeletal Radiology 29 (05) 671 (2025)
https://doi.org/10.1055/s-0045-1809941
Cultivating diagnostic clarity: The importance of reporting artificial intelligence confidence levels in radiologic diagnoses
Mobina Fathi, Kimia Vakili, Ramtin Hajibeygi, Ashkan Bahrami, Shima Behzad, Armin Tafazolimoghadam, Hadiseh Aghabozorgi, Reza Eshraghi, Vivek Bhatt and Ali GholamrezanezhadClinical Imaging 117 110356 (2025)
https://doi.org/10.1016/j.clinimag.2024.110356
AI-powered techniques in anatomical imaging: Impacts on veterinary diagnostics and surgery
A.S. Vickram, Shofia Saghya Infant, Priyanka and Hitesh ChopraAnnals of Anatomy - Anatomischer Anzeiger 258 152355 (2025)
https://doi.org/10.1016/j.aanat.2024.152355
Integration of Artificial Intelligence for Diagnostic Methods in Musculoskeletal Conditions: A Systematic Review
Akshanda Dhumale, Sandeep Shinde, Manoj P Ambali and Prakash PatilCureus (2025)
https://doi.org/10.7759/cureus.79391
A novel approach for the detection of brain tumor and its classification via end-to-end vision transformer - CNN architecture
K. Chandraprabha, L. Ganesan and K. BaskaranFrontiers in Oncology 15 (2025)
https://doi.org/10.3389/fonc.2025.1508451
Deep Learning in Scaphoid Nonunion Treatment
Leyla Tümen, Fabian Medved, Katarzyna Rachunek-Medved, Yeaeun Han and Dominik SaulJournal of Clinical Medicine 14 (6) 1850 (2025)
https://doi.org/10.3390/jcm14061850
Künstliche Intelligenz in der chirurgischen Weiterbildung
Adrian Deichsel, Felix C. Öttl, Johannes Pawelczyk, Lea Usov and Henryk HafferDie Unfallchirurgie 128 (8) 571 (2025)
https://doi.org/10.1007/s00113-025-01558-x
1179 (2025)
https://doi.org/10.1109/AUTOCOM64127.2025.10957315
202 (2025)
https://doi.org/10.1109/AUTOCOM64127.2025.10957086
(2025)
https://doi.org/10.1007/174_2025_581
Bridging innovation to implementation in artificial intelligence fracture detection
Mohammed Khattak, Patrick Kierkegaard, Alison McGregor and Daniel C PerryThe Bone & Joint Journal 107-B (6) 582 (2025)
https://doi.org/10.1302/0301-620X.107B6.BJJ-2024-1567.R1
Artificial intelligence‐assisted analysis of musculoskeletal imaging—A narrative review of the current state of machine learning models
Felix C. Oettl, Bálint Zsidai, Jacob F. Oeding, Michael T. Hirschmann, Robert Feldt, David Fendrich, Matthew J. Kraeutler, Philipp W. Winkler, Pawel Szaro and Kristian SamuelssonKnee Surgery, Sports Traumatology, Arthroscopy 33 (8) 3032 (2025)
https://doi.org/10.1002/ksa.12702
Enhancing diagnostic accuracy in bone fracture detection: A comparative study of customized and pre-trained deep learning models on X-ray images
Abdulmajeed AlsufyaniInternational Journal of ADVANCED AND APPLIED SCIENCES 12 (5) 68 (2025)
https://doi.org/10.21833/ijaas.2025.05.008
ADOPTION OF X-RAY IMAGE BONE DENSITY INTELLIGENT RECOGNITION IN EARLY DIAGNOSIS OF PERIODONTAL DISEASE
HUA XU, XIAOLAN MA, CHI ZHANG, YANAN ZHANG, KAIYUE ZHENG, QIAN ZOU, YANYANG LV, XIAOBEI BAI and HONGWEI WANGJournal of Mechanics in Medicine and Biology 25 (05) (2025)
https://doi.org/10.1142/S021951942540041X
Integrating artificial intelligence into orthopedics: Opportunities, challenges, and future directions
Raju Vaishya, Anupam Sibal, Sujoy Kar and Sangita ReddyJournal of Hand and Microsurgery 17 (4) 100257 (2025)
https://doi.org/10.1016/j.jham.2025.100257
Convolutional neural network-based fracture detection in spectrogram of acoustic emission
R. Monika and S. DeivalakshmiSignal, Image and Video Processing 18 (5) 4059 (2024)
https://doi.org/10.1007/s11760-024-03053-z
Transformación del sistema sanitario a través de los datos: acceso y gobernanza como elementos pivotales
V. Tíscar-González and J. Cayón-De las CuevasEnfermería Clínica 34 (3) 145 (2024)
https://doi.org/10.1016/j.enfcli.2024.06.001
A Review on the Use of Artificial Intelligence in Fracture Detection
Aayushi Bhatnagar, Aditya L Kekatpure, Vivek R Velagala and Aashay KekatpureCureus (2024)
https://doi.org/10.7759/cureus.58364
Uses, benefits and future of artificial intelligence (AI) in orthopedics
Lakshmi Nathan and Veerabahu MuthusamyIndian Journal of Medical Sciences 76 95 (2024)
https://doi.org/10.25259/IJMS_205_2023
Novel ways of applying artificial intelligence in emergency medicine - literature review
Jakub Fiegler-Rudol, Magdalena Kronenberg and Tomasz Męcik-KronenbergEmergency Medical Service 11 (2) 132 (2024)
https://doi.org/10.36740/EmeMS202402109
Artificial Intelligence (AI): A Potential Game Changer in Regenerative Orthopedics—A Scoping Review
Raju Vaishya, Sakshi Dhall and Abhishek VaishIndian Journal of Orthopaedics 58 (10) 1362 (2024)
https://doi.org/10.1007/s43465-024-01189-1
Sensitivity and specificity of machine learning and deep learning algorithms in the diagnosis of thoracolumbar injuries resulting in vertebral fractures: A systematic review and meta-analysis
Hakija Bečulić, Emir Begagić, Amina Džidić-Krivić, Ragib Pugonja, Namira Softić, Binasa Bašić, Simon Balogun, Adem Nuhović, Emir Softić, Adnana Ljevaković, Haso Sefo, Sabina Šegalo, Rasim Skomorac and Mirza PojskićBrain and Spine 4 102809 (2024)
https://doi.org/10.1016/j.bas.2024.102809
Bone Fracture Classification using Convolutional Neural Networks from X-ray Images
Amal Alshahrani and Alaa AlsairafiEngineering, Technology & Applied Science Research 14 (5) 16640 (2024)
https://doi.org/10.48084/etasr.8050
286 (2024)
https://doi.org/10.1109/CISCSD63381.2024.00071
Artificial intelligence in planned orthopaedic care
Elena Chiara Thalia Georgiakakis, Akib Majed Khan, Kartik Logishetty and Khaled Maher SarrafSICOT-J 10 49 (2024)
https://doi.org/10.1051/sicotj/2024044
A Systematic Review of Artificial Intelligence in Orthopaedic Disease Detection: A Taxonomy for Analysis and Trustworthiness Evaluation
Thura J. Mohammed, Chew Xinying, Alhamzah Alnoor, Khai Wah Khaw, A. S. Albahri, Wei Lin Teoh, Zhi Lin Chong and Sajal SahaInternational Journal of Computational Intelligence Systems 17 (1) (2024)
https://doi.org/10.1007/s44196-024-00718-y
Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays
Komal Kumar, Snehashis Chakraborty, Kalyan Tadepalli and Sudipta RoyMultimedia Tools and Applications 84 (16) 16657 (2024)
https://doi.org/10.1007/s11042-024-19716-5
Detection of hidden pediatric elbow fractures in X-ray images based on deep learning
Jian Li, Weiyi Hu, Hong Wu, Zhijian Chen, Jiayang Chen, Qingquan Lai, Yi Wang and Yuanzhe LiJournal of Radiation Research and Applied Sciences 17 (2) 100893 (2024)
https://doi.org/10.1016/j.jrras.2024.100893