Causal Device and Causal Method Thereof

This invention describes a system that uses artificial intelligence to understand cause-and-effect relationships within medical imaging data. It has two main parts: one identifies these causal links between various patient and imaging factors, and another learns specific features based on these causal connections. The goal is to combine different types of medical scans more accurately or to help doctors prioritize which imaging tests are most urgent, especially for image reconstruction tasks involving inputs like PET scans, MRI, or patient details.