Evaluation of AI-Assisted Ultrasound-Guided Galvanic Therapy (AAUGGT) for the Treatment of Inflammatory-Induced Pain vs other Modalities

Kaneez Abbas, Majd Oteibi, Danesh Khazaei, Bala Balaguru, Faryar Etesami and Hadi Khazaei
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Kaneez Abbas: Athreya Med Tech
Majd Oteibi: Validus Institute Inc
Danesh Khazaei: Portland State University
Bala Balaguru: Athreya Med Tech
Faryar Etesami: Portland State University
Hadi Khazaei: Athreya Med Tech

International Journal of Research and Innovation in Applied Science, 2025, vol. 10, issue 2, 703-714

Abstract: Inflammatory-induced pain and discomfort remain significant contributors to the global burden of chronic diseases, affecting quality of life and productivity. (1) Current therapeutic options often involve pharmacological interventions with limited efficacy and potential side effects. Galvanic therapy, which uses low-level electrical stimulation, has shown promise in modulating inflammation and pain pathways. (2) When combined with precision imaging techniques like ultrasound and cutting-edge artificial intelligence (AI), this approach can provide personalized, non-invasive, and effective treatments.(3) This project proposes the development of an AI-Assisted Ultrasound-Guided Galvanic Therapy (AAUGGT) system that leverages real-time AI algorithms for inflammation detection and treatment optimization. Our research will validate the efficacy of this technology in reducing inflammatory responses and pain while improving treatment precision. The proposed study has the potential to revolutionize non-invasive pain management by providing an affordable and scalable alternative to existing therapeutic strategies.

Date: 2025
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