This poster presents our work on visual subtype classification in amyloid PET, focusing on its feasibility, reproducibility, and relationship with semi-quantitative measures. We also explored the association between visual subtypes and clinical as well as biomarker characteristics. Our findings suggest that visual subtype classification may provide meaningful information on spatial amyloid distribution beyond global amyloid burden, supporting further investigation in larger cohorts.