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Cited by in CrossRef
For: Ratna HVK, Jeyaraman M, Jeyaraman N, Nallakumarasamy A, Sharma S, Khanna M, Gupta A. Machine learning and deep neural network-based learning in osteoarthritis knee. World J Methodol 2023; 13(5): 419-425 [PMID: 38229942 DOI: 10.5662/wjm.v13.i5.419]
URL: https://www.wjgnet.com/2222-0682/full/v13/i5/419.htm
Number Citing Articles
1
Pradeep K, Paramesh G, Kavitha G. Hybrid CNN–LSTM-based Vibroarthrography Signal Analysis for Automated Osteoarthritis Detection and Stage Classification. 2026 9th International Conference on Trends in Electronics and Informatics (ICOEI) 2026;  doi: 10.1109/ICOEI68323.2026.11541441
2
Amit Sharma, Vijay Kumar Garg. Computational Intelligence in Knee Osteoarthritis Detection: A Systematic Review of AI and Machine Learning Approaches. 2026 International Conference on Intelligent Processing, Hardware, Electronics, and Radio Systems (CIPHER) 2026;  doi: 10.1109/CIPHER70417.2026.11524036
3
Xintong Li, Xiaoyu Huang, Yabing Han, Qianyun Zhang, Shigang Mao, Taolin Zhang, Yang Yu, Junjie Jiang. Predicting kinesiophobia in knee osteoarthritis: a head-to-head comparison between machine learning and traditional regression models. BMC Musculoskeletal Disorders 2026; 27(1) doi: 10.1186/s12891-026-10068-9
4
Peng Zhou, Zhenyan Liu, Jiang Dai, Ming Yang, He Sui, Zhaoshu Huang, Yu Li, Lingling Song. KNN algorithm for accurate identification of IFP lesions in the knee joint: a multimodal MRI study. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-025-02786-2
5
Bibek Banskota, Rajan Bhusal, Prkash Kumar Yadav, Ashok Kumar Banskota. Artificial intelligence in orthopaedic education, training and research: a systematic review. BMC Medical Education 2025; 25(1) doi: 10.1186/s12909-025-08162-y
6
Ryo Tomita, Eiji Sasaki, Kyota Ishibashi, Ryoto Kura, Hikaru Kristi Ishibashi, Yuka Kimura, Kenji Fujimoto, Yoshinori Tamada, Koichi Murashita, Yasuyuki Ishibashi. Multifactorial contributors to knee osteoarthritis identified by Machine Learning and Bayesian network analysis: A cross-sectional study of the Iwaki Health Promotion Project. Osteoarthritis and Cartilage Open 2026; 8(4) doi: 10.1016/j.ocarto.2026.100874
7
H. K. Shashikala, M. B. Suresh. Transfer Learning Based Deep Learning Approach for Knee Osteoarthritis Grading Using Modified XceptionNet Architecture. Journal of Visualized Experiments 2025; (222) doi: 10.3791/68720
8
Dong Sun, Gang Wu, Wei Zhang, Nadeer M. Gharaibeh, Xiaoming Li. Visualizing Preosteoarthritis: Updates on UTE‐Based Compositional MRI and Deep Learning Algorithms. Journal of Magnetic Resonance Imaging 2025; 62(1) doi: 10.1002/jmri.29710