Generative Large Language Models Trained for Detecting Errors in Radiology Reports
Cong Sun, Kurt Teichman, Yiliang Zhou, Brian Critelli, David Nauheim, Graham Keir, Xindi Wang, Judy Zhong, Adam E. Flanders, George Shih, Yifan Peng
Abstract
Generative large language models that were fine-tuned on synthetic and MIMIC chest radiograph radiology reports greatly enhanced error detection in radiology reports, demonstrating their potential to serve as powerful tools for medical proofreading.
Topics & Concepts
MedicineRadiologyChest radiographProofreadingGenerative grammarMedical physicsGenerative modelArtificial intelligenceRadiographyNatural language processingComputer scienceChemistryPolymeraseBiochemistryGeneRadiology practices and educationArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging