1 Introduction  
2 Preliminaries  
2.1 Background on State Space Models  
3 Architecture Redesign  
4 State Space Models in Action  
4.1 Medical Image Segmentation  
4.2 Medical Image Classification  
4.3 Medical Image Synthesis  
4.4 Medical Image Registration  
4.5 Medical Image Reconstruction  
4.6 Medical Language Processing  
4.7 Multi-Modal Understanding  
4.8 Multi-Task Learning  
5 Discussion  
6 Future Direction and Open Challenges  
7 Conclusion