This paper presents a comprehensive evaluation of GPT-4V's capabilities across diverse
medical imaging tasks, including Radiology Report Generation, Medical Visual Question …

With the significant advancements of Large Language Models (LLMs) in the field of Natural
Language Processing (NLP), the development of image-text multimodal models has …

Medical Vision Language Pretraining (VLP) has recently emerged as a promising solution to
the scarcity of labeled data in the medical domain. By leveraging paired/unpaired vision and …

Medical image representations can be learned through medical vision-language contrastive
learning (mVLCL) where medical imaging reports are used as weak supervision through …