A Sample Protocol for Using Tai Chi and Qigong to Treat Cardiovascular Disease: An Application of Artificial Intelligence to Traditional Chinese Medicine

Abstract

This study demonstrates the application of artificial intelligence (AI) in bridging Traditional Chinese Medicine (TCM) with evidence-based cardiac rehabilitation. Using Grok 4, a large language model, a safe, evidence-informed Tai Chi Qigong Shibashi (Set 1) protocol was generated and refined specifically for patients recovering from myocardial infarction (post-MI) or with stable cardiovascular disease. The resulting 6-posture, 20-minute program emphasizes heart-Qi regulation, gentle circulation enhancement, and autonomic balance while maintaining very low intensity (2–2.5 METs, RPE 9–11). “Lifting the Ball” was identified as the most heart-specific movement and is prioritized. The protocol deliberately omits higher-effort postures (Rowing the Boat, Rolling Arms) to minimize fatigue in early recovery. A detailed 8-week randomized controlled trial (RCT) design with objective (6MWD, HRV, LVEF) and patient-reported outcomes is proposed. Expected benefits based on existing Tai Chi/Qigong cardiology trials include 6MWD increases of 50–70 m, HRV improvements of 25–33%, and modest LVEF gains (3–5%). This work illustrates a novel, rapid, and cost-effective method for developing individualized TCM-based interventions using contemporary AI tools, offering clinicians a practical, culturally rooted adjunct to standard post-MI rehabilitation.