Song Ya-Qi, Mao Xin-Li, Zhou Xian-Bin, He Sai-Qin, Chen Ya-Hong, Zhang Li-Hui, Xu Shi-Wen, Yan Ling-Ling, Tang Shen-Ping, Ye Li-Ping, Li Shao-Wei
Taizhou Hospital, Zhejiang University, Linhai, China.
Key Laboratory of Minimally Invasive Techniques and Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou Hospital Affiliated to Wenzhou Medical University, Linhai, China.
Front Med (Lausanne). 2021 Jul 22;8:709347. doi: 10.3389/fmed.2021.709347. eCollection 2021.
With the rapid development of science and technology, artificial intelligence (AI) systems are becoming ubiquitous, and their utility in gastroenteroscopy is beginning to be recognized. Digestive endoscopy is a conventional and reliable method of examining and diagnosing digestive tract diseases. However, with the increase in the number and types of endoscopy, problems such as a lack of skilled endoscopists and difference in the professional skill of doctors with different degrees of experience have become increasingly apparent. Most studies thus far have focused on using computers to detect and diagnose lesions, but improving the quality of endoscopic examination process itself is the basis for improving the detection rate and correctly diagnosing diseases. In the present study, we mainly reviewed the role of AI in monitoring systems, mainly through the endoscopic examination time, reducing the blind spot rate, improving the success rate for detecting high-risk lesions, evaluating intestinal preparation, increasing the detection rate of polyps, automatically collecting maps and writing reports. AI can even perform quality control evaluations for endoscopists, improve the detection rate of endoscopic lesions and reduce the burden on endoscopists.
随着科学技术的飞速发展，人工智能（AI）系统正变得无处不在，其在胃肠镜检查中的效用也开始得到认可。消化内镜检查是检查和诊断消化道疾病的一种传统且可靠的方法。然而，随着内镜检查数量和类型的增加，诸如缺乏熟练的内镜医师以及不同经验程度医生专业技能差异等问题日益明显。迄今为止，大多数研究都集中在利用计算机检测和诊断病变，但改善内镜检查过程本身的质量是提高检出率和正确诊断疾病的基础。在本研究中，我们主要回顾了AI在监测系统中的作用，主要体现在内镜检查时间、降低盲点率、提高高危病变检测成功率、评估肠道准备情况、提高息肉检出率、自动采集图像和撰写报告等方面。AI甚至可以对内镜医师进行质量控制评估，提高内镜病变检出率并减轻内镜医师的负担。
