Deep learning for named entity recognition in Turkish radiology reports.

Purpose: The primary objective of this research is to enhance the accuracy and efficiency of information extraction from radiology reports. In addressing this objective, the study aims to develop and evaluate a deep learning framework for named entity recognition (NER).

Methods: We used a synthetic dataset of 1,056 Turkish radiology reports created and labeled by the radiologists in our research team.