Guest Editorial Open and Interpretable AI in Computational Pathology

Imran Razzak, Muhammad Khuram Khan, Guandong Xu, Fahmi Khalifa

Abstract: The thirteen papers in this special issue focus on open and interoperable artificial intelligence (AI) in computational pathology. Recent years have seen exponential advances in the quality of AI techniques in the medical filed. Particularly, AI/ML tools have been widely exploited pathological image analysis to examine and assess the function of human organs and/or to provide trustworthy prediction of diseases.