Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …

Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …

Background: High-quality colonoscopy is essential to prevent the occurrence of colorectal
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …

Colorectal polyp is an important early manifestation of colorectal cancer, which is significant
for the prevention of colorectal cancer. Despite timely detection and manual intervention of …

Colon cancer undergoes a traditional pathway from colon polyps to colon cancer. It is of
great significance to investigate the key molecules involved in carcinogenesis from polyps to …

Background and aim Randomised trials show improved polyp detection with computer-
aided detection (CADe), mostly of small lesions. However, operator and selection bias may …

Endoscopy is an important tool for detecting and diagnosing digestive diseases. However,
the performance of endoscopists varies, which significantly impacts the health outcomes of …

Artificial intelligence is a technology that processes and analyzes information with
reproducibility and accuracy. Its application in medicine, especially in the field of …

Artificial intelligence (AI) is of keen interest for global health development as potential
support for current human shortcomings. Gastrointestinal (GI) endoscopy is an excellent …

Aims This trial aimed to validate a CADe system for colorectal polyp detection versus trained
endoscopists in an endoscopy blinded set-up with real-time unblinding. Methods The CAD …