On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study

Understand

Recently, large language models (LLMs) have taken the spotlight in natural language processing.

• Further, integrating LLMs with vision enables the users to explore emergent abilities with multimodal data.
• Visual language models (VLMs), such as LLaVA, Flamingo, or CLIP, have demonstrated impressive performance on various visio-linguistic tasks.
• Consequently, there are enormous applications of large models that could be potentially used in the biomedical imaging field.