… have enabled the narrower area of machine learning to equip clinicians with … gastrointestinal
(GI) endoscopy because it is a cornerstone for diagnosis and treatment of diseases of the GI …

… Machine learning algorithms can be applied to assist in the interpretation of medical
imagery, often referred to as computer-aided detection (CADe) and computer-aided diagnosis (…

… intelligence on gastroenterology with a special focus on automatic diagnosis, based on
endoscopic … Diagnostic assessment of deep learning algorithms for detection of lymph node …

… deep learning, will lead to the near-term availability of clinically relevant applications in
gastrointestinal endoscopy, … expand as computational power and algorithms improve. As the field …

… Machine‐learning algorithms can accurately and reliably predict the risk of UGI lesions based
… with high risk of UGI lesions and stratifying patients for necessary endoscopic screening. …

… support that is important for endoscopic diagnosis, which has … of machine learning, and more
particularly, deep learning for … of applying deep learning algorithms to endoscopic imaging. …

… is a machine-learning algorithm similar to deep learning, capable of recognizing specific
features of gastric endoscopy … was to detect HP infection early, thus preventing gastric cancer. …

… relating to CAD for upper gastrointestinal endoscopy from the perspective of endoscopists
… Illustrative model of the deep learning algorithm. The algorithm approximates complex non-…

… such as machine learning, deep learning, artificial intelligence, … networks, GI endoscopy,
and endoscopic image analysis. … Machine learning (ML) refers to AI in which the algorithm, …

… deep learning technology has been used to identify, differentiate catalog images in several
medical fields including gastrointestinal endoscopy… teaching computer algorithms to learn …