Simple Summary There has been an exponential rise in the availability of artificial
intelligence systems in endoscopy in recent years. As a result, maintaining an informed …

Photoacoustic imaging (PAI) is a successful clinical imaging platform for management of
cancer and other health conditions that has seen significant progress in the past decade …

Colorectal cancer screening plays a vital role in early detection and removal of
precancerous adenomas, contributing to decreased mortality rates. Most polyps found …

Background: Artificial intelligence (AI) using deep learning systems has recently been
utilized in various medical fields. In the field of gastroenterology, AI is primarily implemented …

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 The resect-and-discard strategy allows endoscopists to replace post-
polypectomy pathology with real-time prediction of polyp histology during colonoscopy …

Background: Real-time prediction of histologic features of small colorectal polyps may
prevent resection and/or pathologic evaluation and therefore decrease colonoscopy costs …

Background & Aims Computer-aided diagnosis (CADx) assists endoscopists in
differentiating between neoplastic and non-neoplastic polyps during colonoscopy. This …

Global warming caused by increased greenhouse gas (GHG) emissions has a direct impact
on human health. Gastrointestinal (GI) endoscopy contributes significantly to GHG emissions …

Background: Computer-aided diagnosis (CADx) allows prediction of polyp histology during
colonoscopy, which may reduce unnecessary removal of nonneoplastic polyps. However …