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Fayetteville State University, USA
*Corresponding author:Robert W Mc Gee, Fayetteville State University, USA
Submission: May 19, 2025;Published: June 18, 2025
ISSN 2640-9399 Volume2 Issue5
This study explores the efficacy of Tai Chi as a non-pharmacological intervention for chronic pain management and evaluates the utility of Grok 3, an Artificial Intelligence (AI) assistant, in synthesizing relevant medical research. By analyzing ten randomly selected studies from the PubMed database, the research identifies Tai Chi’s effectiveness in reducing pain intensity and improving function across conditions such as neck pain, lower back pain, knee osteoarthritis, and multisite pain in older adults. Key findings highlight Tai Chi’s comparability to physical therapy, its enhancement of psychological wellbeing, and the role of factors like postural awareness and patient expectations in optimizing outcomes. Grok 3 successfully summarized study content, demographics, methodologies and findings, though it initially omitted a requested table, which was later provided. The study underscores Tai Chi’s potential as a safe, cost-effective pain management strategy and demonstrates AI’s value in efficiently processing medical data, while noting the need for due diligence due to potential AI inaccuracies. This dual-purpose investigation provides insights into both Tai Chi’s therapeutic benefits and AI’s role in medical research.
Keywords:Tai chi; Chronic pain; Artificial intelligence; Grok 3; Pain management; Non-pharmacological intervention; Mind-body therapy
Ph.D in Agriculture from Faculty of Agriculture, Tohoku University
Research Professor, PhD, Holistic Research Institute
Professor, Chief Doctor, Director of Department of Pediatric Surgery, Associate Director of Department of Surgery, Doctoral Supervisor Tongji hospital, Tongji medical college, Huazhong University of Science and Technology
Senior Research Engineer and Professor, Center for Refining and Petrochemicals, Research Institute, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia
Fellow of International Agency for Standards and Ratings (IASR), Edith Cowan University, Sarich Neuroscience Research Institute
Chancellor Emeritus / Professor Emeritus of Chemistry and Physics, University of Missouri–St. Louis
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Assistant Professor, Department of Electronics and Computer Science
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