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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
Spandana Rajendra Kopalli, Madhu Shukla, B. Jayaprakash, Mayank Kundlas, Ankur Srivastava, Jayant Jagtap, Monica Gulati, Sridevi Chigurupati, Eiman Ibrahim, Prasanna Shama Khandige, Dario Salguero Garcia, Sushruta Koppula, Amin Gasmi. Artificial intelligence in stroke rehabilitation: From acute care to long-term recoveryNeuroscience 2025; 572: 214 doi: 10.1016/j.neuroscience.2025.03.017
2
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; 21(11): 999 doi: 10.1080/17434440.2024.2418399
3
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
4
Jing Xiong, Jin-Tian Wang, Shu Lin, Bao-Yuan Xie. Advances in hemiplegia rehabilitation: modern therapeutic interventions to enhance activities of daily livingFrontiers in Neurology 2025; 16 doi: 10.3389/fneur.2025.1555990
5
Shri Harini Ramesh, Darwin Jull, Hélène Fournier, Fateme Rajabiyazdi. Exploring Barriers to Patients’ Progression in the Cardiac Rehabilitation Journey From Health Care Providers’ Perspectives: Qualitative StudyInteractive Journal of Medical Research 2025; 14: e66164 doi: 10.2196/66164
6
Yasser Mahmoud, Kaleb Horvath, Yi Zhou. Deep Learning for Predicting Rehabilitation Success: Advancing Clinical and Patient-Reported Outcome ModelingElectronics 2025; 14(6): 1082 doi: 10.3390/electronics14061082
7
Elvira Buijs, Elena Maggioni, Gianpaolo Carrafiello. Artificial Intelligence2024; : 21 doi: 10.1108/978-1-83549-468-420241002
8
Mayur Wanjari, Gaurav Mittal, Roshan Prasad. RETRACTED ARTICLE: Artificial intelligence enhancements in the neurosurgical treatment of tuberous sclerosisNeurosurgical Review 2024; 47(1) doi: 10.1007/s10143-024-02883-2
9
Zubia Rashid, Hania Ahmed, Neha Nadeem, Syeda Bushra Zafar, Muhammad Zubair Yousaf. The paradigm of digital health: AI applications and transformative trendsNeural Computing and Applications 2025;  doi: 10.1007/s00521-025-11081-0
10
Amol Singam. Revolutionizing Patient Care: A Comprehensive Review of Artificial Intelligence Applications in AnesthesiaCureus 2023;  doi: 10.7759/cureus.49887
11
Rocco Salvatore Calabrò, Sepehr Mojdehdehbaher. AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare ApproachAI 2025; 6(3): 62 doi: 10.3390/ai6030062
12
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
13
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; 18(2): 63 doi: 10.4103/pjiap.pjiap_89_24
14
Wangdo Kim. Current Developments in Biosensor Applications and Smart Strategies [Working Title]2025;  doi: 10.5772/intechopen.1008680
15
Yihao Liu, Xu Cao, Tingting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen. From screens to scenes: A survey of embodied AI in healthcareInformation Fusion 2025; 119: 103033 doi: 10.1016/j.inffus.2025.103033