Vision-Language Pre-training for Medical Image Analysis

This paper explores the application of vision-language pre-training techniques to improve the accuracy and interpretability of medical image analysis. By jointly learning from image and text data, the models achieve superior performance in disease diagnosis and prognosis, offering powerful tools for clinical decision support.