A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models

arXiv:2403.18975v1 Announce Type: new
Abstract: Medical imaging is critical to the diagnosis, surveillance, and treatment of many health conditions, including oncological, neurological, cardiovascular, and musculoskeletal disorders, among others. Radiologists interpret these complex, unstructured images and articulate their assessments through narrative reports that remain largely unstructured. This unstructured narrative must be converted into a structured semantic representation to facilitate secondary applications such as retrospective analyses or clinical decision support. Here, we introduce the Corpus of Annotated Medical Imaging Reports (CAMIR), which …

abstract arxiv bert cs.cl diagnosis extraction health health conditions images imaging information information extraction language language models medical medical imaging narrative novel reports results surveillance through treatment type unstructured