Requirements and Challenges to use Explainable Artificial Intelligence in Histopathology: A Rapid Review

The number of professional pathologists is not high in contrast with the total population, and, worldwide, the cases of cancer have a tendency to rise each year. In the face of this, the implementation of Artificial Intelligence (AI) and, more specifically, Explainable Artificial Intelligence (xAI) techniques could contribute to prevent a work overload on pathologists. Despite recent advances in this subject, AI/xAI systems are still not fully integrated in the histopathology workflow. This could be due to the fact that the implementation of AI/xAI models in histopathology is subject to technical, social and legal requirements, among others. It is necessary to determine these requirements in order to solve this issue. With the intention of providing a wider picture, this article will present a rapid literature review bringing together all current requirements and obstacles that the implementation of AI/xAI faces in histopathology.