… Determination of disease activity is important to tailor IBD therapy, it remains to be seen
how automated endoscopic scores can be incorporated in algorithms including biomarkers to …

… , we have seen the growth of artificial intelligence (AI) in our … algorithms have been
developed to train a computer to differentiate normal from abnormal areas in the luminal digestive …

… With the improvement in computational power and the advance of DL algorithms, we are
confident that AI-aided systems will make a big difference in clinical practice, and clinicians …

… Artificial intelligence (AI) that surpasses human ability in image recognition is expected to
be applied in the field of gastrointestinal endoscopes… and by developing a new AI algorithm. …

… developed for upper GI may be available soon. One of the greatest challenges in gastrointestinal
endoscopy … Deep learning algorithms were first used by Ebigbo et al. [37] and de Groof …

… (CADe) algorithms. Their role was to … algorithms to pinpoint deviations from “normal” tissue,
presenting them to the interpreter. In GI endoscopy, the processing speed of CAD algorithms …

… and has great potential in gastrointestinal endoscopy applications. At present, the … algorithm
based on the convolutional neural network. AI has been used in gastrointestinal endoscopy …

… who aimed to use clinical and endoscopic data in an AI algorithm to predict clinical remission
in UC at 1 year. Patients with an established UC diagnosis, in clinical remission and in …

… cancer mortality, diagnostic upper GI endoscopy is affected by a … of GI endoscopy. Thus,
efforts to improve the transparency, explainability, and intelligibility of these DL algorithms are …

… in general and gastrointestinal endoscopy in particular, it is … the state-of-the art of ML and
AI in gastrointestinal endoscopy. … is to code a computer program on the basis of an algorithm, …