Despite significant advancements in medical vision-language pre-training, existing methods
have largely overlooked the inherent entity-specific context within radiology reports and the
complex cross-modality contextual relationships between text and images. To close this gap,
we propose a novel Entity-centered Context-aware Medical Vision-language Pre-training
(ECAMP) framework, which is designed to enable a more entity-centered and context-
sensitive interpretation of medical data. Utilizing the recent powerful large language model …