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.

翻译：近十年来,AI协助的结肠镜检查受到了很多关注,前两年的几次随机临床试验显示了提高聚虫检测率的令人振奋的结果,然而,目前的商业AI协助的结肠镜检查系统侧重于为在结肠镜检查期间检测聚虫提供视觉协助,对胃肠科医生的需要和这些系统的可用性问题缺乏了解,本文件旨在介绍最近在HCI社区开发和部署商业AI协助的结肠镜检查系统的情况,查明临床医生的期望与商业系统的能力之间的差距,并突出澳大利亚的一些独特挑战。