A 24-week trial with 91 sarcopenic adults aged 60-75 found that participants who self-determined their exercise sequence—combining resistance training and Taichi—achieved superior skeletal muscle area gains compared to standard resistance training alone. The intervention showed statistically significant improvements in L3 skeletal muscle density, muscle area, handgrip strength, and relative skeletal muscle mass index. Notably, an AI stacking model predicted sarcopenia reversal with 84.5% accuracy, identifying resistance training as the primary contributor to muscle recovery. This finding represents a meaningful shift from prescriptive exercise protocols toward personalized, patient-driven approaches. The self-determination aspect may enhance adherence and psychological engagement, critical factors in sustained muscle building among older adults. However, the study's 24-week duration leaves questions about long-term sustainability, and the relatively small cohort size limits generalizability. The integration of explainable AI for predicting treatment outcomes is particularly noteworthy, potentially enabling clinicians to optimize interventions based on individual patient profiles. While confirmatory that resistance training drives muscle gains, the self-sequencing methodology offers a practical framework that could transform sarcopenia treatment protocols in geriatric care.