Artificial intelligence in endoscopy:The challenges and future directions  

作　　者：Xiaohong Gao Barbara Braden 

机构地区：[1]Department of Computer Science,Middlesex University,London NW44BT,United Kingdom [2]Translational Gastroenterology Unit,Oxford University Hospitals NHS Foundation Trust,Oxford OX39DU,United Kingdom

出　　处：《Artificial Intelligence in Gastrointestinal Endoscopy》2021年第4期117-126,共10页胃肠道内窥镜检查中的人工智能（英文）

摘　　要：Artificial intelligence based approaches,in particular deep learning,have achieved state-of-the-art performance in medical fields with increasing number of software systems being approved by both Europe and United States.This paper reviews their applications to early detection of oesophageal cancers with a focus on their advantages and pitfalls.The paper concludes with future recommendations towards the development of a real-time,clinical implementable,interpretable and robust diagnosis support systems.

关 键 词：Deep learning Oesophageal cancer Early detection Squamous cell cancer Barrett’s oesophagus 

分 类 号：R73[医药卫生—肿瘤]