Augmenting Scalar Wave Vibration Energy and AI-Driven Therapies for Managing Obsessive-Compulsive Disorder (OCD)
Abstract Obsessive-Compulsive Disorder (OCD) is a chronic and often debilitating mental health condition characterized by intrusive thoughts and repetitive behaviors that can significantly impair daily functioning and emotional well-being. While traditional treatments such as Cognitive Behavioral Therapy (CBT) and Selective Serotonin Reuptake Inhibitors (SSRIs) have shown effectiveness, they may not be sufficient or suitable for all individuals. This review explores an emerging, noninvasive therapeutic paradigm that combines scalar wave vibration energy wellness with Artificial Intelligence (AI) and Machine Learning (ML) to offer a more personalized and holistic approach to managing OCD. Scalar waves are theorized to restore the body’s natural energetic balance, potentially reducing stress and improving cognitive clarity. When enhanced with AI/ML technologies, treatment can be tailored in real time using biometric feedback, behavioral patterns, and predictive analytics. This integrative strategy not only aligns with the future of precision mental health care but also opens new avenues for non-pharmacological interventions. The paper discusses the scientific basis, potential benefits, and challenges of this combined approach, emphasizing the need for interdisciplinary collaboration and clinical validation to ensure safe and effective implementation.
Institutions
- Golden Gate University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-12
- DOI
- https://doi.org/10.5281/zenodo.15239505
- Primary Topic
- Obsessive-Compulsive Spectrum Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00