VividMed addresses critical limitations in applying general-purpose vision language models to medicine by introducing specialized visual grounding techniques for medical imagery.

• Enables versatile visual grounding that adapts to different medical tasks like segmentation and report generation
• Supports both 2D and 3D medical images, overcoming a major limitation in existing VLMs
• Demonstrates superior performance across multiple medical benchmarks compared to general-purpose VLMs
• Employs innovative approaches to overcome the scarcity of medical training data

This research represents a significant advance in medical AI by creating specialized tools that understand the unique visual language of healthcare, potentially improving diagnostic accuracy and clinical workflow efficiency.

VividMed: Vision Language Model with Versatile Visual Grounding for Medicine