Artificial Intelligence (AI) has become of increasing interest over the past decade. While digital image analysis (DIA) is already being used in radiology, it is still in its infancy in pathology. One of the reasons is that large-scale digitization of glass slides has only recently become available. With the advent of digital slide scanners, that digitize glass slides into whole slide images, many labs are now in a transition phase towards digital pathology. However, only few departments worldwide are currently fully digital. Digital pathology provides the ability to annotate large datasets and train computers to develop and validate robust algorithms, similar to radiology. In this opinionated overview, we will give a brief introduction into AI in pathology, discuss the potential positive and negative implications and speculate about the future role of AI in the field of pediatric pathology.

在过去的十年中，人工智能 (AI) 越来越受到人们的关注。虽然数字图像分析 (DIA) 已用于放射学，但在病理学中仍处于起步阶段。原因之一是玻璃载玻片的大规模数字化直到最近才出现。随着数字载玻片扫描仪的出现，将载玻片数字化为整个载玻片图像，许多实验室现在正处于向数字病理学的过渡阶段。然而，目前全球只有少数部门是完全数字化的。数字病理学提供注释大型数据集和训练计算机开发和验证稳健算法的能力，类似于放射学。在这个自以为是的概述中，我们将简要介绍病理学中的 AI，