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AAUGET — AI-Assisted Ultrasound-Guided Electrical Therapy for Musculoskeletal Disorders

Author

Listed:
  • Kaneez Abbas

    (Athreya Med Tech)

  • Majd Oteibi

    (Validus Institute Inc)

  • Behrooz Khajehee

    (Portland State University)

  • Hadi Khazaei

    (Athreya Med Tech Portland State University)

  • Danesh Khazaei

    (Portland State University)

  • Bala Balaguru

    (Athreya Med Tech)

  • Mahdi Khanbabazadeh

    (Chiro-Care Chiropractic Clinic)

Abstract

Musculoskeletal disorders (MSDs) are among the most prevalent conditions worldwide, impacting individuals’ quality of life and imposing a significant healthcare burden. Recent advances in AI-driven imaging, galvanic therapy, and evidence-based data synthesis offer new potential for improving diagnostic and therapeutic outcomes in MSDs. Our project, AAUGGT (Advanced AI-Ultrasound Guided Galvanic Therapy)/ ET (Electrical Therapy), seeks to combine artificial intelligence (AI), image analysis, and galvanic therapeutic/ ET approaches to optimize the diagnosis and treatment of musculoskeletal pain.1

Suggested Citation

  • Kaneez Abbas & Majd Oteibi & Behrooz Khajehee & Hadi Khazaei & Danesh Khazaei & Bala Balaguru & Mahdi Khanbabazadeh, 2025. "AAUGET — AI-Assisted Ultrasound-Guided Electrical Therapy for Musculoskeletal Disorders," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 10(8), pages 1005-1017, August.
    • Handle: RePEc:bjf:journl:v:10:y:2025:i:8:p:1005-1017
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