RadioBERT: A deep learning-based system for medical report generation from chest X-ray images using contextual embeddings.
Journal:
Journal of biomedical informatics
Published Date:
Oct 10, 2022
Abstract
BACKGROUND: Increasing number of chest X-ray (CXR) examinations in radiodiagnosis departments burdens radiologists' and makes the timely generation of accurate radiological reports highly challenging. An automatic radiological report generation (ARRG) system is envisaged to generate radiographic reports with minimal human intervention, ease radiologists' burden, and smoothen the clinical workflow. The success of an ARRG system depends on two critical factors: i) quality of the features extracted by the ARRG system from the CXR images, and ii) quality of the linguistic expression generated by the ARRG system describing the normalities and abnormalities as indicated by the extracted features. Most of the existing ARRG systems miserably fail due to the latter factor and do not generate clinically acceptable reports because they ignore the contextual importance of the medical terms.