The Swin Transformer excelled in SAG/TRA image analysis, while a multimodal fusion feature‐based neural network achieved optimal accuracy in external validation cohorts for predicting intramedullary glioma grading, α‐thalassemia/mental retardation syndrome X‐linked status, and P53 status. This evidence concerns the gene TP53 and central nervous system cancer.