From Hands to Hardware: Exploring AI's Role in the Future of Energy Healing

Energy healing methods are thought to be among the oldest therapies, having their roots in the ancient. In recent decades, starting in the twentieth century, scientific technology has been gradually integrated into these healing modalities. In this field, not much has changed, even in the twenty-first century. In this paper various energy healing modalities and their fundamental workings can be learned with using AI Tools along with the bridging of traditional energy with modern techniques This study investigates the integration of traditional energy healing methods, notably Reiki, with modern technological breakthroughs, with a focus on the use of artificial intelligence (AI) to improve and broaden Reiki practice. Reiki, a Japanese therapy for stress reduction and healing that uses energy transfer, has traditionally relied on intuitive human interaction. The rise of AI and biofeedback technologies opens us new avenues for monitoring, analyzing, and potentially augmenting Reiki sessions. This paper presents an AI-powered framework that uses biometric data, machine learning algorithms, and virtual interfaces to help practitioners make real-time decisions and personalize recovery strategies. This approach seeks to legitimize and modernize energy healing by combining old metaphysical traditions with evidence-based technological tools, making it more accessible and data-driven.