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Cited by in CrossRef
For: Swarnakar R, Yadav SL. Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective. World J Clin Cases 2023; 11(29): 7258-7260 [PMID: 37946764 DOI: 10.12998/wjcc.v11.i29.7258]
URL: https://www.wjgnet.com/2307-8960/full/v11/i29/7258.htm
Number Citing Articles
1
Elvira Buijs, Elena Maggioni, Gianpaolo Carrafiello. Artificial Intelligence2024; : 21 doi: 10.1108/978-1-83549-468-420241002
2
Mayur Wanjari, Gaurav Mittal, Roshan Prasad. Artificial intelligence enhancements in the neurosurgical treatment of tuberous sclerosisNeurosurgical Review 2024; 47(1) doi: 10.1007/s10143-024-02883-2
3
Amol Singam. Revolutionizing Patient Care: A Comprehensive Review of Artificial Intelligence Applications in AnesthesiaCureus 2023;  doi: 10.7759/cureus.49887
4
Giovanni Morone, Müller-Eising Claudia, Mirjam Bonanno, Irene Ciancarelli, Stefano Mazzoleni, Rocco Salvatore Calabrò. Breaking the ice through an effective translationality in neurorehabilitation: are we heading to the right direction?Expert Review of Medical Devices 2024; : 1 doi: 10.1080/17434440.2024.2418399
5
Hao Han, Ran Li, Dongming Fu, Hongyou Zhou, Zihao Zhan, Yi’ang Wu, Bin Meng. Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgeryBMC Surgery 2024; 24(1) doi: 10.1186/s12893-024-02646-2
6
Ramkrishna Mondal. Role of augmented reality and virtual reality from the Indian healthcare education perspective – A systematic reviewJournal of Family Medicine and Primary Care 2024; 13(8): 2841 doi: 10.4103/jfmpc.jfmpc_368_24
7
Avilash Mohapatra, Patitapaban Mohanty, Monalisa Pattnaik, Srikanta Padhan. Physiotherapy in the digital age: A narrative review of the paradigm shift driven by the integration of artificial intelligence and machine learningPhysiotherapy - The Journal of Indian Association of Physiotherapists 2024;  doi: 10.4103/pjiap.pjiap_89_24