Radiology reporting is a complex task requiring detailed medical image understanding and
precise language generation, for which generative multimodal models offer a promising …

Report generation models offer fine-grained textual interpretations of medical images like
chest X-rays, yet they often lack interactivity (ie. the ability to steer the generation process …

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

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

Medical Report Grounding is pivotal in identifying the most relevant regions in medical
images based on a given phrase query, a critical aspect in medical image analysis and …

The automatic medical report generation is a challenging task because it requires accurate
capture and description of abnormal regions, especially for those discrepancies between …

Visual Grounding is also known as Referring Expression Comprehension and Phrase
Grounding. It involves localizing a natural number of specific regions within an image based …

Objective: This study addresses challenges in surgical education, particularly in
neuroendoscopy, where the demand for optimized workflow conflicts with the need for …

With the emergence of large-scale vision-language models, realistic radiology reports may
be generated using only medical images as input guided by simple prompts. However, their …

We present GaVA-CLIP, a knowledge augmentation strategy for Gait Video Analysis,
designed to assess diagnostic groups and gait impairment. Based on the large-scale …