AI-Based EMG Reporting: A Randomized Controlled Trial.

Journal: Journal of neurology
Published Date: Aug 22, 2025

Abstract

BACKGROUND AND OBJECTIVES: Accurate interpretation of electrodiagnostic (EDX) studies is essential for the diagnosis and management of neuromuscular disorders. Artificial intelligence (AI) based tools may improve consistency and quality of EDX reporting and reduce workload. The aim of this study is to evaluate the performance of an AI-assisted, multi-agent framework (INSPIRE) in comparison with standard physician interpretation in a randomized controlled trial (RCT).

Authors

  • Alon Gorenshtein
    Department of Neurology, Rambam Health Care Campus, Haifa, Israel; Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel; AI in Neurology Laboratory, Ruth and Bruce Rapaport Faculty of Medicine, Technion Institute of Technology, Haifa, 3525408, Israel.
  • Yana Weisblat
    Department of Neurology, Rambam Health Care Campus, Haifa, Israel.
  • Mohamed Khateb
    Department of Neurology, Rambam Health Care Campus, Haifa, Israel.
  • Gilad Kenan
    Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Irina Tsirkin
    Department of Neurology, Assuta Medical Center, Ashdod, Israel.
  • Galina Fayn
    Department of Neurology, Rambam Health Care Campus, Haifa, Israel.
  • Semion Geller
    Department of Neurology, Rambam Health Care Campus, Haifa, Israel.
  • Shahar Shelly
    Department of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Rambam Medical Center, Haifa, Israel.

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