Radiology Report

Radiology reports, crucial for medical diagnosis and treatment, are increasingly being analyzed and generated using artificial intelligence. Current research focuses on improving the accuracy and efficiency of automated report generation and extraction of structured data from unstructured reports, employing large language models (LLMs) like LLAMA and GPT, often augmented with retrieval-augmented generation (RAG) and other techniques like contrastive learning. This work aims to reduce radiologist workload, improve diagnostic accuracy, and facilitate data analysis for research and clinical decision support, with a strong emphasis on ensuring data privacy and clinical validity. The development of new evaluation metrics specifically tailored for radiology reports is also a key area of ongoing investigation.