The advance of AI on its image analysis capability has triggered the installation of digital pathology in hospital to adopt AI as an assistant on pathology image analysis. Due to the dyeing process and different scanners, the characteristics of the digitized pathology images could vary significantly across different hospitals. AI model trained by data from a certain hospital often does not work well on another hospital. In this talk, we will introduce issues caused by cross-hospital variations.