Artificial intelligence (AI) presents a novel platform for improving disease diagnosis.
However, the clinical utility of AI remains limited to discovery studies, with poor translation to …

Background Artificial intelligence (AI) is used to solve the problem of missed diagnosis of
polyps in colonoscopy, which has been proved to improve the detection rate of adenomas …

Today gastroenterologists face the challenge of how to perceive and interpret the high
volume—about 30 highdefinition frames per s—of rich visual data presented in real time …

Background and Aim Application of artificial intelligence in medicine is now attracting
substantial attention. In the field of gastrointestinal endoscopy, computer‐aided diagnosis …

Introduction. A Noninvasive diagnosis model for digestive diseases is the vital issue for the
current clinical research. Our systematic review is aimed at demonstrating diagnosis …

The current study aimed to develop multiple diagnosis models for colorectal cancer (CRC)
based on data from The Cancer Genome Atlas database and analysis with artificial neural …

Inflammatory bowel disease (IBD), which includes ulcerative colitis (UC) and Crohn's
disease (CD), is an idiopathic condition related to a dysregulated immune response to …

One of the three most serious and deadly cancers in the world is colorectal cancer. The most
crucial stage, like with any cancer, is early diagnosis. In the medical industry, artificial …

Background: Artificial intelligence (AI) is exponentially gaining interest and utilization in
medical fields. Deep learning, a particular branch of AI under machine learning, started a …

There is great interest in artifi-cial intelligence (AI) in health care. As with many innovations
in medicine, there is a fine line between potential benefits and harms with the use of AI. This …