Multi-modal generative AI involves the use of machine learning techniques to generate high-quality medical images from multiple sources and modalities, such as CT, MRI, and ultrasound scans. By leveraging the strengths of each modality, this approach can improve the accuracy of medical imaging and enable more accurate diagnoses and treatment planning.