From Image to Report: Automating Lung Cancer Screening Interpretation and Reporting with Vision-Language Models

We present LUMEN (Lung cancer screening with Unified Multimodal Evaluation and Navigation), a multimodal AI framework that mimics the radiologist’s workflow by identifying nodules in LDCT images, generating their characteristics, and drafting corresponding radiology reports in accordance with reporting guidelines. LUMEN integrates computer vision, vision-language models (VLMs), and large language models (LLMs) to automate lung cancer screening interpretation and reporting.