Purpose Data augmentation is a common technique to overcome the lack of large annotated
databases, a usual situation when applying deep learning to medical imaging problems …

In medical imaging, the detection and classification of stomach diseases are challenging
due to the resemblance of different symptoms, image contrast, and complex background …

Background In colonoscopy screening for colorectal cancer, human vision limitations may
lead to higher miss rate of lesions; artificial intelligence (AI) assistance has been …

Wireless capsule endoscopy (WCE) produces amounts of redundant images in one
examination, which is very laborious and time-consuming for a physician to review these. It …

Background: Early intravesical recurrence after transurethral resection of bladder tumors
(TURBT) is often caused by overlooking of tumors during TURBT. Although narrow-band …

Background Computer-aided detection (CADe) increases adenoma detection in primary
screening colonoscopy. The potential benefit of CADe in a fecal immunochemical test (FIT) …

The endoscopic features associated with eosinophilic esophagitis (EoE) may be missed
during routine endoscopy. We aimed to develop and evaluate an Artificial Intelligence (AI) …

Artificial intelligence (AI) and its application in medicine has grown large interest. Within
gastrointestinal (GI) endoscopy, the field of colonoscopy and polyp detection is the most …

Research in computer-aided diagnosis (CAD) and the application of artificial intelligence
(AI) in the endoscopic evaluation of the gastrointestinal tract is novel. Since colonoscopy …

Background Evidence has shown that deep learning computer aided detection (CADe)
system achieved high overall detection accuracy for polyp detection during colonoscopy …