Abstract: The present disclosure relates to a method and an electronic device for providing information related to prostate diseases. More specifically, The present disclosure relates to a technology that utilizes three-dimensional voxel data and an imaging feature map generated from prostate medical image data acquired from magnetic resonance imaging (MRI) or computed tomography (CT), together with non-image clinical data including a serum prostate-specific antigen (PSA) level and past diagnostic history. Based on a Biomarker-Adaptive Spatial Attention Strategy, attention weights of a multimodal cross-attention module are dynamically modulated to detect suspected cancer lesions and determine clinical significance (Clinically Significant Prostate Cancer, CSPC). The technology provides integrated diagnostic information including a Tumor Burden Ratio and a Corrected Prostate-Specific Antigen Density (Corrected PSAD) together with the detection and determination results.