Integrating artificial intelligence in subconscious energy healing therapy (SEHT): Enhancing therapeutic outcomes

Khushpinder Pal Sharma *

Indraprastha Institute of Information Technology Delhi (IIITD), India.
 
Research Article
International Journal of Science and Research Archive, 2024, 13(01), 2203–2205
Article DOI: 10.30574/ijsra.2024.13.1.1659
Publication history: 
Received on 28 July 2024; revised on 01 October 2024; accepted on 04 October 2024
 
Abstract: 
Subconscious Energy Healing Therapy (SEHT) is a holistic approach that addresses deep-rooted emotional, psychological, and energetic imbalances by tapping into the subconscious mind. Integrating Artificial Intelligence (AI) into SEHT represents a transformative step in the evolution of therapeutic practices. AI's ability to process large datasets, recognize patterns and personalize interventions enhances the accuracy and effectiveness of SEHT. This note explores how AI can be utilized to refine diagnostic processes, optimize treatment plans, and provide real-time feedback during therapy sessions. By leveraging machine learning algorithms and natural language processing, AI can assist therapists in understanding subtle subconscious cues and predicting patient responses, leading to more targeted and efficient healing practices. The synergy between AI and SEHT opens new avenues for personalized and adaptive healing modalities, promising to revolutionize how subconscious healing is approached in the modern era.
 
Keywords: 
Artificial Intelligence (AI); Subconscious Energy Healing Therapy (SEHT); Machine Learning; Natural Language Processing; Personalized Healing; Emotional Imbalance; Holistic Therapy; Therapeutic Outcomes
 
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