Foundation model, trained on a diverse range of data and adaptable to a myriad of tasks, is
advancing healthcare. It fosters the development of healthcare artificial intelligence (AI) …

The rapid development of artificial intelligence has constantly reshaped the field of
intelligent healthcare and medicine. As a vital technology, multimodal learning has …

Medical Visual Question Answering (MedVQA) presents a significant opportunity to enhance
diagnostic accuracy and healthcare delivery by leveraging artificial intelligence to interpret …

Multimodal Large Language Models (MLLMs) have tremendous potential to improve the
accuracy, availability, and cost-effectiveness of healthcare by providing automated solutions …

Large Vision-Language Models (LVLMs) show significant strides in general-purpose
multimodal applications such as visual dialogue and embodied navigation. However …

The rapid development of multimodal large language models (MLLMs), such as GPT-4V,
has led to significant advancements. However, these models still face challenges in medical …

We introduce AudioBench, a universal benchmark designed to evaluate Audio Large
Language Models (AudioLLMs). It encompasses 8 distinct tasks and 26 datasets, among …

Abstract Large Vision-Language Models (LVLMs) are capable of handling diverse data
types such as imaging, text, and physiological signals, and can be applied in various fields …

The rapid development of multimodal large language models (MLLMs), such as GPT-4V,
has led to significant advancements. However, these models still face challenges in medical …

Ensuring the general efficacy and benefit for human beings from medical Large Language
Models (LLM) before real-world deployment is crucial. However, a widely accepted and …