Artificial intelligence in endoscopy:The challenges and future directions

Xiaohong Gao; Barbara Braden

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Artificial intelligence in endoscopy:The challenges and future directions

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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.

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《胃肠道内窥镜检查中的人工智能（英文）》 |2021年第4期|117-126|共10页
作者
Xiaohong Gao; Barbara Braden;
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作者单位

Department of Computer Science;

Middlesex University;

London NW44BT;

United Kingdom;

Translational Gastroenterology Unit;

Oxford University Hospitals NHS Foundation Trust;

Oxford OX39DU;

United Kingdom;

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原文格式 PDF
正文语种 chi
中图分类肿瘤学;
关键词
Deep learning; Oesophageal cancer; Early detection; Squamous cell cancer; Barrett’s oesophagus;

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Artificial intelligence in endoscopy:The challenges and future directions

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