Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases
10.3760/cma.j.issn.1671-0274.2020.01.006
- VernacularTitle: 人工智能对胃肠疾病诊疗的推动作用
- Author:
Yingyan YU
1
Author Information
1. Institute of Digestive Surgery, Key Laboratory of Gastric Cancer, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Medical images;
Convolutional neural network;
Deep learning
- From:
Chinese Journal of Gastrointestinal Surgery
2020;23(1):33-37
- CountryChina
- Language:Chinese
-
Abstract:
The rapid development of computer technologies brings us great changes in daily life and work. Artificial intelligence is a branch of computer science, which is to allow computers to exercise activities that are normally confined to intelligent life. The broad sense of artificial intelligence includes machine learning and robots. This article mainly focuses on machine learning and related medical fields, and deep learning is an artificial neural network in machine learning. Convolutional neural network (CNN) is a type of deep neural network, that is developed on the basis of deep neural network, further imitating the structure of the visual cortex of the brain and the principle of visual activity. The current machine learning method used in medical big data analysis is mainly CNN. In the next few years, it is the developing trend that artificial intelligence as a conventional tool will enter the relevant departments of medical image interpretation. In addition, this article also shares the progress of the integration of artificial intelligence and biomedicine combined with actual cases, and mainly introduces the current status of CNN application research in pathological diagnosis, imaging diagnosis and endoscopic diagnosis for gastrointestinal diseases.
