XGeM: A multi-prompt foundation model for multimodal medical data generation

Key Points

• XGeM demonstrates effective data generation capabilities across multiple modalities, enhancing medical content creation.
• The model can generate coherent medical data using both images and text, supporting diverse applications in healthcare.
• Assessment involved rigorous natural language processing and image processing techniques to evaluate its performance.
• Findings suggest that improved multimodal data generation could change how medical information is created, yet external validation is needed.