Domain-adapted Large Language Models for Classifying Nuclear Medicine Reports

Purpose: To evaluate the impact of domain adaptation on the performance of language models in predicting five-point Deauville scores on the basis of clinical fluorine 18 fluorodeoxyglucose PET/CT reports. Materials and Methods: testing. Results: ≤ .001). A physician given the task on a subset of the data had a five-class accuracy of 66%. Conclusion: . © RSNA, 2023See also the commentary by Abajian in this issue.