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] |
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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 recovery. Neuroscience 2025; 572: 214 doi: 10.1016/j.neuroscience.2025.03.017
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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
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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 surgery. BMC Surgery 2024; 24(1) doi: 10.1186/s12893-024-02646-2
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4 |
Jing Xiong, Jin-Tian Wang, Shu Lin, Bao-Yuan Xie. Advances in hemiplegia rehabilitation: modern therapeutic interventions to enhance activities of daily living. Frontiers in Neurology 2025; 16 doi: 10.3389/fneur.2025.1555990
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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 Study. Interactive Journal of Medical Research 2025; 14: e66164 doi: 10.2196/66164
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6 |
Yasser Mahmoud, Kaleb Horvath, Yi Zhou. Deep Learning for Predicting Rehabilitation Success: Advancing Clinical and Patient-Reported Outcome Modeling. Electronics 2025; 14(6): 1082 doi: 10.3390/electronics14061082
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7 |
Elvira Buijs, Elena Maggioni, Gianpaolo Carrafiello. Artificial Intelligence. 2024; : 21 doi: 10.1108/978-1-83549-468-420241002
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8 |
Mayur Wanjari, Gaurav Mittal, Roshan Prasad. RETRACTED ARTICLE: Artificial intelligence
enhancements in the neurosurgical treatment of tuberous sclerosis. Neurosurgical Review 2024; 47(1) doi: 10.1007/s10143-024-02883-2
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9 |
Zubia Rashid, Hania Ahmed, Neha Nadeem, Syeda Bushra Zafar, Muhammad Zubair Yousaf. The paradigm of digital health: AI applications and transformative trends. Neural Computing and Applications 2025; doi: 10.1007/s00521-025-11081-0
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10 |
Amol Singam. Revolutionizing Patient Care: A Comprehensive Review of Artificial Intelligence Applications in Anesthesia. Cureus 2023; doi: 10.7759/cureus.49887
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11 |
Rocco Salvatore Calabrò, Sepehr Mojdehdehbaher. AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare Approach. AI 2025; 6(3): 62 doi: 10.3390/ai6030062
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12 |
Ramkrishna Mondal. Role of augmented reality and virtual reality from the Indian healthcare education perspective – A systematic review. Journal of Family Medicine and Primary Care 2024; 13(8): 2841 doi: 10.4103/jfmpc.jfmpc_368_24
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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 learning. Physiotherapy - The Journal of Indian Association of Physiotherapists 2024; 18(2): 63 doi: 10.4103/pjiap.pjiap_89_24
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14 |
Wangdo Kim. Current Developments in Biosensor Applications and Smart Strategies [Working Title]. 2025; doi: 10.5772/intechopen.1008680
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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 healthcare. Information Fusion 2025; 119: 103033 doi: 10.1016/j.inffus.2025.103033
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