The developments of artificial intelligence in pathology have gained its importance in biomedicine. In the past months, accelerations of work in applying state-of-the-art algorithms and providing rapid intelligent model prototyping for digital pathology is visible. Digital slides, as the heart of pathological analyses, are becoming parts of many recent works. However, the potential of the technology is far from being fully exploited in pathology. Except that the accuracy and generality of the algorithms and models are continuously improving, applications also need specialized well-established semantic standards and analysis methods to really meet the criteria of assisting pathologists.
Therefore, it is important to promote the computational understanding-mechanisms in pathology, which include robust image analysis and more complicated multi-modal methods. The mechanisms should also consist of data management, establishing semantic standards and medically validating the intelligent systems to guarantee the medical usability and enhance the meaningfulness. The works may greatly benefit pathologists and eventually patients, leading to accurate diagnosis and effective treatments. The knowledge from modern intelligence systems and analyses could improve the understanding of human pathology. This workshop is a forum for researchers to discuss new ideas, findings, best practices, and techniques to build up works in pathology, complementing the conventional diagnosis with uses of intelligence in digital pathology.