Abstract

This study explores the application of Tai Chi and Qigong, traditional Chinese medicine techniques, in the treatment of rheumatoid arthritis (RA). Through a systematic review of PubMed studies, we utilized Grok 3, an artificial intelligence assistant, to summarize findings on the efficacy of these practices. The reviewed studies, involving varied participant groups and protocols (typically 8-12 weeks of Yang-style Tai Chi or general Qigong), suggest potential benefits, including reduced pain, improved physical function, and enhanced quality of life, though evidence is limited by small sample sizes and methodological flaws. The holistic, low-impact nature of Tai Chi and Qigong, involving gentle movements, breathing, and meditation, makes them appealing supplementary treatments for RA. This paper highlights the need for larger, high-quality randomized controlled trials and compares these practices to other interventions. By leveraging artificial intelligence, this study underscores the growing reliability of AI in medical research while advocating for the integration of Tai Chi and Qigong into RA management.

Keywords

Tai Chi, qigong, rheumatoid arthritis, artificial intelligence, Grok3