WoLF: Wide-scope Large Language Model Framework for CXR Understanding

Understand

Significant methodological strides have been made toward Chest X-ray (CXR) understanding via modern vision-language models (VLMs), demonstrating impressive Visual Question Answering (VQA) and CXR report generation abilities.

• However, existing CXR understanding frameworks still possess several procedural caveats.
• (1) Previous methods solely use CXR reports, which are insufficient for comprehensive Visual Question Answering (VQA), especially when additional health-related data like medication history and prior diagnoses are needed.
• (2) Previous methods use raw CXR reports, which are often arbitrarily structured.