Information Extraction from Lumbar Spine MRI Radiology Reports Using GPT4: Accuracy and Benchmarking Against Research-Grade Comprehensive Scoring

Information Extraction from Lumbar Spine MRI Radiology Reports Using GPT4: Accuracy and Benchmarking Against Research-Grade Comprehensive Scoring

<b>Background/Objectives</b>: This study aimed to create a pipeline for standardized data extraction from lumbar-spine MRI radiology reports using a large language model (LLM) and assess the agreement of the extracted data with research-grade semi-quantitative scoring. <b>Methods&l...

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Bibliographic Details
Main Authors: Katharina Ziegeler, Virginie Kreutzinger, Michelle W. Tong, Cynthia T. Chin, Emma Bahroos, Po-Hung Wu, Noah Bonnheim, Aaron J. Fields, Jeffrey C. Lotz, Thomas M. Link, Sharmila Majumdar
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
Subjects:
large language models
spinal imaging
magnetic resonance imaging
Online Access:https://www.mdpi.com/2075-4418/15/7/930
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