Publication Name	World Journal of Clinical Cases
Manuscript ID	87208
Country	India

Category	Rehabilitation
Manuscript Type	Letter to the Editor
Article Title	Artificial intelligence and machine learning in motor recovery: A rehabilitation medicine perspective
Manuscript Source	Unsolicited Manuscript
All Author List	Raktim Swarnakar and Shiv Lal Yadav
Funding Agency and Grant Number
Corresponding Author	Raktim Swarnakar, MBBS, MD, Doctor, Department of Physical Medicine and Rehabilitation, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, Delhi, India. raktimswarnakar@hotmail.com
Key Words	Artificial intelligence; Motor learning; Rehabilitation; Motor recovery; Machine learning; Physical medicine and rehabilitation
Core Tip	Artificial intelligence (AI) and machine learning (ML) are promising to revolutionize motor recovery in rehabilitation medicine. These technologies enable precise movement analysis, personalized treatment plans, and adaptive neurorehabilitation approaches using wearable sensors, virtual reality, augmented reality, and robotic devices. AI-driven telerehabilitation also facilitates remote monitoring and consultation. However, healthcare professionals must interpret AI-generated insights and prioritize patient safety. Ongoing research will determine the true potential of AI and ML in shaping the future of rehabilitation medicine.
Citation	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

Received	2023-07-29 07:09
Peer-Review Started	2023-07-29 07:11
To Make the First Decision
Return for Revision	2023-08-16 05:49
Revised	2023-09-01 15:09
Second Decision	2023-09-18 02:37
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2023-09-18 08:26
Articles in Press	2023-09-18 08:26
Publication Fee Transferred
Edit the Manuscript by Language Editor	2023-09-17 19:57
Typeset the Manuscript	2023-09-27 06:56

ISSN	2307-8960 (online)
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