关键词: 人工智能, 疝与腹壁外科, 机器学习, 自然语言处理, 人工神经网络, 计算机视觉

Abstract: Artificial Intelligence in hernia and abdominal wall surgery        CHEN Shuang, HUANG En-min, ZHOU Tai-cheng, et al.  Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Sun Yat-sen University, 510655, Guangzhou, Guangdong, China
Corresponding author: CHEN Shuang, E-mail:chensh223@
mail.sysu.edu.cn
Abstract    AI can be divided into four parts: machine learning, natural language processing, artificial neural networks and computer vision, based on different sub-domain applications. Machine learning can improve the diagnosis and prognosis prediction of hernia and abdominal wall surgery. In terms of natural language processing, the model constructed by natural language using an electronic medical record system has excellent anastomotic leakage prediction ability in the early postoperative period. In terms of artificial neural networks, the research results of Gastrointestinal, Hernia and Abdominal Wall Surgery a the Sixth Affiliated Hospital of Sun Yat-sen University in gastroesophageal reflux disease show that nine parameters of preoperative examination can well predict a postoperative outcome, and horizontal comparison with other algorithms shows that artificial neural networks may have more advantages in predicting prognosis.

Key words: artificial intelligence, hernia and abdominal wall surgery, machine learning, natural language processing, artificial neural networks, computer vision