Background and Aims Artificial intelligence–based computer-aid detection (CADe) devices
have been recently tested in colonoscopies, increasing the adenoma detection rate (ADR) …

Gaps in colonoscopy skills among endoscopists, primarily due to experience, have been
identified, and solutions are critically needed. Hence, the development of a real-time robust …

METHODS: We performed a prospective, multicenter study comparing CADx and
endoscopist predictions of polyp histology in real-time colonoscopy. Optical diagnosis based …

Background: Artificial intelligence computer-aided detection (CADe) of colorectal neoplasia
during colonoscopy may increase adenoma detection rates (ADRs) and reduce adenoma …

Colonoscopy remains the preeminent standard for screening for colorectal cancer around
the world owing to its effectiveness in both detecting adenomatous or pre-cancerous lesions …

Simple Summary In recent years, there has been an exponential rise in artificial intelligence-
based technology. Artificial intelligence has been applied to several medical disciplines …

Background: The role of computer-aided detection in identifying advanced colorectal
neoplasia is unknown. Objective: To evaluate the contribution of computer-aided detection …

Background and Aims Computer-aided detection (CADe) has been shown to improve polyp
detection in clinical trials. Limited data exist on the impact, utilization, and attitudes toward …

Colorectal cancer (CRC) remains a critical health concern and a significant financial burden,
not only in North America, but worldwide. This highlights the importance of colonoscopy as a …

The global incidence and mortality rate of colorectal cancer remains high. Colonoscopy is
regarded as the gold standard examination for detecting and eradicating neoplastic lesions …