Gastric cancer is a common cause of death worldwide and its early detection is crucial to improve its prognosis. Its incidence varies throughout countries, and screening has been found to be cost-effective at least in high-incidence regions. Identification of individuals harbouring preneoplastic lesions and their surveillance or of those with early gastric cancer are extremely important processes and endoscopy play a key role for this purpose. Unfortunately, also quality and accuracy for endoscopic detection varies among centres and endoscopists. Recent studies about Artificial Intelligence applied to endoscopic imaging show that these technologies perform very well and could be extremely useful for endoscopists to achieve the accuracy needed for gastric cancer screening. Nonetheless, as its introduction in this field is very recent, most studies are carried out offline and its results in clinical practice need to be further validated namely by incorporating all the components/dimensions of endoscopy from pre to post-assessment.

胃癌是世界范围内常见的死亡原因，其早期发现对于改善其预后至关重要。其发病率因国家而异，并且至少在高发地区发现筛查具有成本效益。识别具有癌前病变的个体及其监测或早期胃癌的个体是极其重要的过程，而内窥镜检查在此方面起着关键作用。不幸的是，内窥镜检测的质量和准确性也因中心和内窥镜医师而异。最近关于人工智能应用于内窥镜成像的研究表明，这些技术表现非常好，对于内窥镜医师实现胃癌筛查所需的准确性非常有用。尽管如此，由于它在这个领域的引入是最近的，