Chest X-rays (CXRs) are the most frequently performed imaging test in clinical practice.
Recent advances in the development of vision-language foundation models (FMs) give rise …

Conversational AI tools that can generate and discuss clinically correct radiology reports for
a given medical image have the potential to transform radiology. Such a human-in-the-loop …

This work evaluates GPT-4V's multimodal capability for medical image analysis, focusing on
three representative tasks radiology report generation, medical visual question answering …

Radiologists play a crucial role by translating medical images into medical reports. However,
the field faces staffing shortages and increasing workloads. While automated approaches …

Automatic radiology report generation can alleviate the workload for physicians and
minimize regional disparities in medical resources, therefore becoming an important topic in …

Medical Visual Question Answering (MedVQA) has gained increasing attention at the
intersection of computer vision and natural language processing. Its capability to interpret …

In the medical and healthcare fields, the integration of clinical images and question-
answering systems is believed to be a powerful tool that has the capacity to change the …

Given a medical image and a question in natural language, medical VQA systems are
required to predict clinically relevant answers. Integrating information from visual and textual …