Abstract

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.

Highlights

  • Artificial intelligence (AI) is a new and powerful technology

  • We summarize the literature on artificial intelligence (AI) in gastrointestinal endoscopy, focusing on the role of AI in monitoring (Figure 1)—mainly in monitoring the endoscopy time, reducing endoscopy blindness, improving the success rate of high-risk lesion detection, evaluating bowel preparation, increasing polyp detection rate and automatically taking pictures and writing reports, with the goal of improving the quality of daily endoscopy and making AI a powerful assistant to endoscopists in the detection and diagnosis of disease

  • The results showed that the accuracy of endoscopists in identifying upper gastrointestinal (UGI) tumors was not good, and suggested that AI validation studies could be used as a framework for evaluating endoscopists’ capabilities in the future [44]

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Summary

Introduction

Artificial intelligence (AI) is a new and powerful technology. In contrast to machines, the human brain may make mistakes in long-term work due to fatigue and stress, among other distractions; AI technology can compensate for the limited capabilities of humans. Identifying the anatomical parts of the digestive tract and accurately classifying them can help inexperienced endoscopists correctly locate the examination site as well as reduce the blind spot rate.

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