Medical Xpress May 20, 2025
Radiological Society of North America

A type of artificial intelligence called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published today in Radiology. Researchers said the findings point to an important role for this technology in medical proofreading.

Radiology reports are crucial for optimal patient care. Their accuracy can be compromised by factors like errors in speech recognition software, variability in perceptual and interpretive processes and cognitive biases. These errors can lead to incorrect diagnoses or delayed treatments, making the need for accurate reports urgent.

LLMs like ChatGPT are advanced generative AI models that are trained on vast amounts of text to generate human language. While they offer great potential in proofreading, their application in the...

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