However, saliency maps may not fully meet the requirements of biological interpretability, and the associated error is significant. In addition, some relationships of biological potential may be found in medical imaging AI studies. For instance, certain imaging features with high predictive power might be linked to the high expression of specific genes or proteins. Exploring the connection between these genes or proteins and clinical endpoint events can further enhance the biological interpretability of AI models.