… artificial intelligence breakthroughs in the pathology setting. In this Review, we discuss
advancements in digital … challenges and opportunities for artificial intelligence in digital pathology. …

… pathology … pathology into the digital era, also known as digital pathology. Within minutes,
WSI scanners capture multiple images of entire tissue sections on the slide, which are digitally …

… -scale digital-slide … of pathology images linked with clinical, outcome and genomic information,
in turn spurring substantial research activity into artificial intelligence for digital pathology …

… Artificial neural networks (… pathologists, has emerged as a provocative topic.4, 5, 6, 7 In this
article, we discuss key challenges and opportunities related to exploiting digital pathology in …

… of digital pathology and this is well covered by others 17, 33, but clearly a major step in the
implementation of any AI tool in histopathology is the digitisation of pathology departments to …

… pathology workflow [5,6,7]. Thus, the timing is right for a digital disruption to occur in diagnostic
pathology. … of articles on digital pathology and artificial intelligence in the next few months. …

… The advent of digital pathology (DP) and an increase in computational power have led to
the development of artificial intelligence (AI)-based tools that can assist pathologists and …

… Pathological diagnosis requires a detailed review of all medical data and past pathological
data of the patient, and digital pathology … of digital pathology is that pathological AI-based …

… remote institutes suffering from a shortage of pathologists to routine use in daily … digital
pathology images have been developed that will facilitate the development of artificial intelligence …

… Recent developments in deep learning enable big-data analysis of pathological samples.
Digital … This review examines applications of artificial intelligence (AI) to important questions in …