Fu Xin-Yu, Mao Xin-Li, Chen Ya-Hong, You Ning-Ning, Song Ya-Qi, Zhang Li-Hui, Cai Yue, Ye Xing-Nan, Ye Li-Ping, Li Shao-Wei
Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China.
Key Laboratory of Minimally Invasive Techniques and Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou Hospital Affiliated to Wenzhou Medical University, Linhai, China.
Front Med (Lausanne). 2022 May 16;9:886853. doi: 10.3389/fmed.2022.886853. eCollection 2022.
Convolutional neural networks in the field of artificial intelligence show great potential in image recognition. It assisted endoscopy to improve the detection rate of early gastric cancer. The 5-year survival rate for advanced gastric cancer is less than 30%, while the 5-year survival rate for early gastric cancer is more than 90%. Therefore, earlier screening for gastric cancer can lead to a better prognosis. However, the detection rate of early gastric cancer in China has been extremely low due to many factors, such as the presence of gastric cancer without obvious symptoms, difficulty identifying lesions by the naked eye, and a lack of experience among endoscopists. The introduction of artificial intelligence can help mitigate these shortcomings and greatly improve the accuracy of screening. According to relevant reports, the sensitivity and accuracy of artificial intelligence trained on deep cirrocumulus neural networks are better than those of endoscopists, and evaluations also take less time, which can greatly reduce the burden on endoscopists. In addition, artificial intelligence can also perform real-time detection and feedback on the inspection process of the endoscopist to standardize the operation of the endoscopist. AI has also shown great potential in training novice endoscopists. With the maturity of AI technology, AI has the ability to improve the detection rate of early gastric cancer in China and reduce the death rate of gastric cancer related diseases in China.
人工智能领域的卷积神经网络在图像识别方面显示出巨大潜力。它辅助内镜检查提高早期胃癌的检出率。晚期胃癌的5年生存率低于30%，而早期胃癌的5年生存率超过90%。因此，更早地筛查胃癌可带来更好的预后。然而，由于诸多因素，如存在无症状的胃癌、肉眼难以识别病变以及内镜医师经验不足等，中国早期胃癌的检出率一直极低。人工智能的引入有助于弥补这些不足，并大大提高筛查的准确性。根据相关报道，基于深卷积神经网络训练的人工智能的灵敏度和准确性优于内镜医师，而且评估所需时间也更短，这可大大减轻内镜医师的负担。此外，人工智能还可在内镜医师的检查过程中进行实时检测和反馈，以使内镜医师的操作标准化。人工智能在培训新手内镜医师方面也显示出巨大潜力。随着人工智能技术的成熟，人工智能有能力提高中国早期胃癌的检出率，并降低中国胃癌相关疾病的死亡率。
