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).
YOLO26x-based automated fracture detection on radiographs and its impact on radiologist performance: A multi-reader multi-case study
Gül Gizem Pamuk, Murat Yüce, Samet Öztürk, Muhammed Edip İşleyen, Mehmet Karagülle, Candan Varlık, Süleyman Öncü and Ahmet Tan Cimilli European Journal of Radiology 203 113025 (2026) https://doi.org/10.1016/j.ejrad.2026.113025
Comparative evaluation of LLMs in orthopedic surgery
Gnaneswar Chundi, Abhiram Dawar, Syed Sarwar, Sanjiv Prasad, Michael Vosbikian and Irfan Ahmed Journal of Orthopaedic Reports 5(2) 100728 (2026) https://doi.org/10.1016/j.jorep.2025.100728
The Rise of AI Companions: From Prediction to Surgery in the Digital Twin Era
A lightweight region of interest-level adjudication framework with hard-negative mining and confidence-aware fusion for pediatric fracture detection
C. V. Aravinda, Noushath Shaffi, Vimbi Viswan, Adham Al-Rahbi, Choy Ker Woon, Yassine Bouchareb and Srinivasa Rao Sirasanagandla Frontiers in Artificial Intelligence 9 (2026) https://doi.org/10.3389/frai.2026.1807189
The AI implementation gap in trauma radiography: standalone versus discretionary AI-integrated fracture detection
Anna Gurabi, Sirus S. Hosseini-Begtary, Peter Hegedus, Andor Viktor Gal, Pal Maurovich-Horvat and Nikolett Marton European Radiology Experimental 10(1) (2026) https://doi.org/10.1186/s41747-026-00763-6
MD. Mostofa Hasib, Ahmed Farhan Amin, Nokibul Arfin Siam, Alif Hossain Talha, Noboranjan Dey and Mahfujur Rahman 1 (2026) https://doi.org/10.1109/QPAIN69676.2026.11545715
The Evolving Role of Artificial Intelligence in Fracture Diagnosis and Surgical Planning in Orthopaedics: Current Insights and Future Directions
Adeolu A Badejo, Michael O Kolade, Kenechukwu Igbokwe, Timilehin Olowookere, Abiodun C Adegbesan, Imri G Adefokun, Tosin Fakiyesi, Olorungbami K Anifalaje and Funbi Ayeni Cureus (2026) https://doi.org/10.7759/cureus.107470
Do ChatGPT and Gemini provide accurate answers to patient questions about glenohumeral arthritis?
Suzanna M. Ohlsen, Sarah B. Pirkle, JaeWon Yang, Albert O. Gee and Jason E. Hsu JSES Reviews, Reports, and Techniques 6(3) 100715 (2026) https://doi.org/10.1016/j.xrrt.2026.100715
Meta-analysis and Systematic Review of Diagnostic Performance of Machine Learning Algorithms on Skeletally Mature Wrist Fractures
Reem Sarsour, Sultan Baz, Christopher E. Collins, Angelene Won, Peter Aldo Giammanco, James Hagerty, Jose Jesurajan, Brian A. Schneiderman, Evelyn Ouro-Rodrigues and Joseph G. Elsissy HAND (2026) https://doi.org/10.1177/15589447261457466
From Callus to Code: A systematic review of early evidence on artificial intelligence in fracture non-union
Optimising tibia shaft fracture detection and classification with AI: A study utilising deep learning techniques on X-ray images
Nelofar Akliya, Sivaraj Nimishan, Bimali Sanjeevani Weerakoon and Roshan G. Ragel Informatics in Medicine Unlocked 64 101782 (2026) https://doi.org/10.1016/j.imu.2026.101782
Advanced imaging techniques in the diagnosis and management of orthopedic disorders
Application of artificial intelligence in postoperative orthopedic rehabilitation: a scoping review
Jue Wang, Huihui Bi, Yawen Wang, Yixin Song, Hai Xu, Shenjie Zhong, Qiao He and Qiong Zhang Frontiers in Digital Health 7 (2026) https://doi.org/10.3389/fdgth.2025.1746552
Patient Perceptions of the Use of Artificial Intelligence in Radiology: A Scoping Review
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-Shatouri Egyptian 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
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-Shatouri Egyptian Journal of Radiology and Nuclear Medicine 56(1) (2025) https://doi.org/10.1186/s43055-025-01575-1
How Can Artificial Intelligence Help Avoid Mistakes in Musculoskeletal Imaging?
Marie Pauline Talabard, Nor-Eddine Regnard, Patrick Omoumi, Pedro Augusto Gondim Texeira and Antoine Feydy Seminars in Musculoskeletal Radiology 29(05) 671 (2025) https://doi.org/10.1055/s-0045-1809941
Do ChatGPT and Gemini Provide Appropriate Recommendations for Anterior Cruciate Ligament and Isolated Meniscal Injuries?
Novel artificial intelligence model predicts the need for reduction of distal radius fractures
Jacob Scioscia, Benjamin Fiedler, Umar Ghilzai, Dion Birhiray, Jeffrey Hauck, Srikhar Chilukuri, Rohan Vemu, Joshua Morrow and Lorenzo Deveza European Journal of Orthopaedic Surgery & Traumatology 36(1) (2025) https://doi.org/10.1007/s00590-025-04592-y
V. Logeshwar, S. Madhavan and G. Sivagurunathan 1693 (2025) https://doi.org/10.1109/ICSCN67106.2025.11308630
Integrating Artificial Intelligence and Virtual Reality in Orthopedic Surgery: A Comprehensive Review
Robert Koucheki, Johnathan R. Lex, Michael Brock and Danny P. Goel HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery 21(3) 289 (2025) https://doi.org/10.1177/15563316251345479
Artificial Intelligence Has Varied Diagnostic and Predictive Performance in Diagnosing Patellofemoral Osteoarthritis, Trochlear Dysplasia, and Patellofemoral Tracking Abnormalities: 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 Lau Arthroscopy, Sports Medicine, and Rehabilitation 7(6) (2025) https://doi.org/10.1016/j.asmr.2025.101269
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 Gholamrezanezhad Clinical 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
Leyla Tümen, Fabian Medved, Katarzyna Rachunek-Medved, Yeaeun Han and Dominik Saul Journal of Clinical Medicine 14(6) 1850 (2025) https://doi.org/10.3390/jcm14061850
Künstliche Intelligenz in der chirurgischen Weiterbildung
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 Samuelsson Knee 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
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 WANG Journal 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
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. Shelmerdine European Radiology 36(1) 515 (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 Kumar Biomedical and Pharmacology Journal 18(2) 1297 (2025) https://doi.org/10.13005/bpj/3169
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 Li Journal of Radiation Research and Applied Sciences 17(2) 100893 (2024) https://doi.org/10.1016/j.jrras.2024.100893
Weakly supervised learning based bone abnormality detection from musculoskeletal x-rays
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 Saha International Journal of Computational Intelligence Systems 17(1) (2024) https://doi.org/10.1007/s44196-024-00718-y
Artificial intelligence in planned orthopaedic care
Elena Chiara Thalia Georgiakakis, Akib Majed Khan, Kartik Logishetty and Khaled Maher Sarraf SICOT-J 10 49 (2024) https://doi.org/10.1051/sicotj/2024044
Bone Fracture Classification using Convolutional Neural Networks from X-ray Images
Amal Alshahrani and Alaa Alsairafi Engineering, Technology & Applied Science Research 14(5) 16640 (2024) https://doi.org/10.48084/etasr.8050
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