人工智能技术在早期胃癌内镜诊断中的应用进展

Advances in the application of artificial intelligence in the endoscopic diagnosis of early gastric cancer

摘要:

近年来，基于深度学习的人工智能技术在图像识别方面取得了显著进步，并被广泛应用于临床医学研究。在早期胃癌诊断领域，因肿瘤不易发现的特性成为内镜医师镜下诊断的难题。而人工智能技术与消化内镜相结合，在慢性萎缩性胃炎和肠上皮化生的识别、幽门螺杆菌感染状态的判断、早期胃癌及癌前病变的诊断、肿瘤浸润深度的预测等方面均显示出良好的应用价值。该文对人工智能技术在早期胃癌中的临床应用进行阐述，并讨论存在的问题和挑战，预测未来可能的应用前景。

Abstract:

In recent years, artificial intelligence technology based on deep learning algorithm has made remarkable progress in image recognition and has been widely used in clinical medical researches. As for early gastric cancer, the tumor is usually undetectable and is therefore difficult for endoscopists to make a diagnosis. The combination of artificial intelligence and endoscopy has been playing critical roles in the identification of chronic atrophic gastritis and intestinal metaplasia, the diagnosis of Helicobacter Pylori infection, early gastric cancer and precancerous lesions, and the prediction of the depth of tumor invasion. This review will summarize the clinical application of artificial intelligence in early gastric cancer, discuss its existing problems and challenges, and predict its possible application prospects in the future.