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摘要: 食管癌及胃癌位列中国癌症发病率的前5位，大部分患者发现时即为中晚期，5年生存率较低，严重威胁患者的生命健康。食管癌和胃癌的早诊早治可明显降低患者的死亡率，提高生存率。内镜检查不仅是早期上消化道癌前病变及早期癌诊断的关键，而且还可完整切除病灶，达到治愈目的。伴随着食管癌及胃癌早诊早治理念的不断深入，进行胃镜诊疗的患者数量也在不断增加，但在应对检查例数增加的同时，缺乏有效的监测与监管及客观的评价，胃镜诊疗质量仍不容乐观。人工智能（artificial intelligence，AI）的出现将在胃镜检查中实时监测并提供智能预警，促进并监督内镜医师规范化操作，提高检查和操作质量。本文阐述了AI在胃镜质控中的应用进展和可能面临的问题。Abstract: The incidence rates of esophageal cancer and gastric cancer are the top five in China. Most patients have advanced-stage esophageal and gastric cancers, and their 5-year survival rates are low, which seriously threaten patient health. Early diagnosis and treatment of esophageal and gastric cancers can significantly reduce the mortality rate of patients and improve their survival. Endoscopy is not only the key to the early diagnosis of upper gastrointestinal precancerous lesions, but also can remove the lesions and achieve the goal of cure. With the advancement of early diagnosis and treatment, the number of upper gastrointestinal endoscopy procedures performed is also increasing. However, there is a lack of effective monitoring, supervision, and objective evaluation, and the quality of endoscopic procedures is still not optimal. The emergence of artificial intelligence (AI) could help monitor the gastroscopic process in realtime, provide intelligent warnings to improve its quality, and promote the standardized operation of endoscopists. Here, we describe the application of artificial intelligence in quality control of gastroscopy and identify possible problems.
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Key words:
- early diagnosis and treatment /
- deep learning /
- gastroscopy /
- quality control
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