我们开发了三个电子学习系统，供内镜医师获取必要的技能，提高早期胃癌（EGC）的诊断水平，并通过随机对照试验进行了验证。这三个电子学习系统的主题分别是“检测”、“表征”和“术前评估”。每个电子学习系统的内容包括“技术”、“知识”和“获取经验”。所有的电子学习系统都被证明有助于内镜医师学习如何诊断EGC。讲座视频描述“技术”和“知识”是有益的。此外，重复100个自学案例让学习者获得“经验”并进一步提高他们的诊断能力。基于网络的电子学习系统比其他教学方法更有优势，因为参与人数没有限制。组织病理学诊断是胃癌诊断的金标准。因此，我们开发了一种全面的诊断算法，以规范胃癌的组织病理学诊断。一旦我们成功证明了该算法对准确的组织病理学诊断有帮助，我们将完成一系列旨在精确评估EGC的电子学习系统。

We developed three e-learning systems for endoscopists to acquire the necessary skills to improve the diagnosis of early gastric cancer (EGC) and demonstrated their usefulness using randomized controlled trials. The subjects of the three e-learning systems were "detection," "characterization," and "preoperative assessment." The contents of each e-learning system included "technique," "knowledge," and "obtaining experience." All e-learning systems proved useful for endoscopists to learn how to diagnose EGC. Lecture videos describing "the technique" and "the knowledge" can be beneficial. In addition, repeating 100 self-study cases allows learners to gain "experience" and improve their diagnostic skills further. Web-based e-learning systems have more advantages than other teaching methods because the number of participants is unlimited. Histopathological diagnosis is the gold standard for the diagnosis of gastric cancer. Therefore, we developed a comprehensive diagnostic algorithm to standardize the histopathological diagnosis of gastric cancer. Once we have successfully shown that this algorithm is helpful for the accurate histopathological diagnosis of cancer, we will complete a series of e-learning systems designed to assess EGC accurately.