Published online Aug 28, 2021. doi: 10.3748/wjg.v27.i32.5306
Peer-review started: January 27, 2021
First decision: March 7, 2021
Revised: March 13, 2021
Accepted: July 22, 2021
Article in press: July 22, 2021
Published online: August 28, 2021
Core Tip: Rectal cancer is a common malignancy requiring a multidisciplinary approach to ensure the best clinical management. Diagnostic imaging has contributed to increased survival rates and provided crucial information on the course of rectal cancer patients. Artificial intelligence, and in particular radiomics and machine learning, are promising techniques that could further enhance the value of medical imaging, allowing the building of decision support tools based on quantitative data. We herein present and discuss the potential role of artificial intelligence in rectal cancer applied to different medical imaging modalities.