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March 3, 2026
Open Access
Assessing GPT-4 performance and alignment with human expertise for text-based MRI protocol assignment
ST
Salmonn Talebi
University of California, Berkeley
ET
Elizabeth Tong
Heidelberg University
MM
Mohammad R. K. Mofrad
Lawrence Berkeley National Laboratory
Puntos clave
GPT-4 demonstrated high accuracy in MRI protocol assignment, closely matching human expertise.
The performance metrics indicated over 85% alignment with human-generated MRI protocol decisions.
Analysis using text-based assessments highlighted GPT-4's ability to understand complex medical protocols effectively.
This study underscores the potential benefits of AI in assisting medical professionals, particularly in MRI tasks.
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Cite This Study
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Talebi et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c74c6e9836116a255ee
https://doi.org/https://doi.org/10.1007/s10791-026-09940-y
Assessing GPT-4 performance and alignment with human expertise for text-based MRI protocol assignment | Synapse