An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

arXiv:2304.08448v3 Announce Type: replace
Abstract: The 'Impression' section of a radiology report is a critical basis for communication between radiologists and other physicians, and it is typically written by radiologists based on the 'Findings' section. However, writing numerous impressions can be laborious and error-prone for radiologists. Although recent studies have achieved promising results in automatic impression generation using large-scale medical text data for pre-training and fine-tuning pre-trained language models, such models often require substantial amounts of medical text data and …

abstract arxiv chatgpt communication cs.ai cs.cl error framework however impressions iterative physicians radiology report studies summarization type writing