RESEARCH · ALON GORENSHTEIN, MD
AI in clinical neurophysiology
Alon Gorenshtein’s neurophysiology research studies AI agents for electrodiagnostic interpretation and reporting. The work includes INSPIRE and a clinical trial testing how AI-generated drafts fit into physician workflows.
Research question
Can AI assistance improve the quality and practical usability of nerve conduction and electromyography reports?
Methods and findings
The INSPIRE publication in Clinical Neurophysiology describes an agent-guided framework for interpreting and reporting nerve conduction studies and electromyography (EMG). It provides the system background for the subsequent clinical evaluation.
A randomized trial in the Journal of Neurology enrolled 200 patients and compared physician-only reporting with physician–AI reporting. The combined approach did not significantly improve report quality. Physician feedback also identified problems with efficiency, ease of use, and workload reduction. These results make workflow integration and usability important research questions alongside the quality of generated text.
Authorship
First author of the INSPIRE publication and the randomized trial. The original papers provide the full author lists, methods, and contribution statements.
Publications and sources
- Agent-guided AI-powered interpretation and reporting of nerve conduction studies and EMG (INSPIRE)
Alon Gorenshtein, Moran Sorka, Mohamed Khateb, Dvir Aran, Shahar Shelly. Clinical Neurophysiology (2025).
DOI: 10.1016/j.clinph.2025.2110792 - AI-Based EMG Reporting: A Randomized Controlled Trial
Alon Gorenshtein, Yana Weisblat, Mohamed Khateb, Gilad Kenan, Irina Tsirkin, Galina Fayn, Semion Geller, Shahar Shelly. Journal of Neurology (2025).
DOI: 10.1007/s00415-025-13261-3
Research summary updated October 26, 2026.