Published online May 28, 2021. doi: 10.3748/wjg.v27.i20.2545
Peer-review started: January 28, 2021
First decision: February 24, 2021
Revised: March 27, 2021
Accepted: April 29, 2021
Article in press: April 29, 2021
Published online: May 28, 2021
Core Tip: Machine learning- and deep learning-based imaging approaches have been increasingly applied to histopathological slides and hold much potential in areas spanning diagnosis, disease grading and characterizations, academic research, and clinical decision support mechanisms. As these studies have entered into translational applications, tracking the current state of these methodologies and the clinical areas in which impact is most likely is of high importance. This review will thus provide a background of major concepts and terminologies while highlighting emerging literature regarding histopathological applications of these techniques and challenges and opportunities moving forward.