基於功能性磁振造影與人工智慧之評估成癮傾向判別方法

An identification method for estimating addition tendency based on functional magnetic resonance imaging and artificial intelligence is implemented with an operation device and includes the following steps: (A) subjecting a group of magnetic resonance scanning images to be identified to image preprocessing in order to acquire a group of processed magnetic resonance scanning images to be identified; (B) subjecting the group of processed magnetic resonance scanning images to be identified to data analysis, in order to acquire an analysis indicator for functional magnetic resonance data to be identified; (C) applying an automatic encoder to retrieve a characteristic data to be identified from the analysis indicator for functional magnetic resonance data to be identified; and (D) applying, according to the characteristic data to be identified, an addiction tendency decision making model that is used to identify corresponding addiction tendency according to characteristic data input thereto to acquire the addiction tendency corresponding to the characteristic data to be identified.