The incidence of colorectal cancer (CRC) is increasing worldwide. CRC has high mortality
when detected at advanced stages, yet it is also highly preventable. Given the difficulties in …

The development of artificial intelligence (AI) algorithms has permeated the medical field
with great success. The widespread use of AI technology in diagnosing and treating several …

Objective The effect of colonoscopy on colorectal cancer mortality is limited by several
factors, among them a certain miss rate, leading to limited adenoma detection rates (ADRs) …

Background Upper gastrointestinal cancers (including oesophageal cancer and gastric
cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep …

Background and Aims Up to 30% of adenomas might be missed during screening
colonoscopy—these could be polyps that appear on-screen but are not recognized by …

In early gastric cancer (EGC), tumor invasion depth is an important factor for determining the
treatment method. However, as endoscopic ultrasonography has limitations when …

Background The increasing development of artificial intelligence (AI) systems in medicine
driven by researchers and entrepreneurs goes along with enormous expectations for …

Background and Aims The quality of bowel preparation is an important factor that can affect
the effectiveness of a colonoscopy. Several tools, such as the Boston Bowel Preparation …

Automated examination of biomedical signals plays a vital role to diagnose diseases and
offers useful data to several applications in the areas of physiology, sports medicine, and …

Recent breakthroughs in artificial intelligence (AI), specifically via its emerging sub-field
“deep learning,” have direct implications for computer-aided detection and diagnosis (CADe …