  AI-assisted colonoscopy has received lots of attention in the last decade.
Several randomised clinical trials in the previous two years showed exciting
results of the improving detection rate of polyps. However, current commercial
AI-assisted colonoscopy systems focus on providing visual assistance for
detecting polyps during colonoscopy. There is a lack of understanding of the
needs of gastroenterologists and the usability issues of these systems. This
paper aims to introduce the recent development and deployment of commercial
AI-assisted colonoscopy systems to the HCI community, identify gaps between the
expectation of the clinicians and the capabilities of the commercial systems,
and highlight some unique challenges in Australia.
