… Artificial intelligence that adopts machine learning methods is classified into roughly two
categories: hand-crafted algorithm (conventional) and DL algorithm (… to gastroscopy practice, …

… scenario, artificial intelligence (AI) … endoscopic patterns from UGIE video data. This work
presents a review of the current state-of-the-art algorithms in the application of AI to gastroscopy. …

… surge in the development of relevant artificial intelligence (AI) algorithms addressing a variety
of needs in GI endoscopy. To accept AI algorithms into clinical practice, their effectiveness, …

… DL involves multiple-layered neural network algorithms … in gastrointestinal endoscopy such
as the Japan Endoscopy … amounts of data on endoscopic practice and clinical outcomes [7]. …

… (AI) technologies offer a great promise for gastroenterology practice and research. At … of
artificial intelligence (AI) using deep learning methods revolutionized the use of algorithms in the …

… practice, and the future of endoscopic AI as a standard medical device in medical practice
… to collect data not only in each country but globally and by developing a new AI algorithm. …

… in the integration of artificial intelligence tools in gastroenterology practice. To begin, what is
… continue to expand as computational power and algorithms improve. As the field evolves, a …

… algorithm can output predictions for the three following variables from one endoscopic image:
endoscopic … will tell whether AI will open the door to next-generation endoscopy practice. …

… machine learning algorithm. In contrast, in the most advanced … Ultimately, the output of the
AI algorithm will identify the presence of … in real-time endoscopy practice, as discussed below. …

… of computer algorithms that are automatically improved through training and practice over
… The system can help endoscopists discover more polyps in clinical practice (34). Requa et al…