Artificial intelligence (AI) technologies in clinical medicine have become the subject of
intensive investigative efforts and popular attention. In domains ranging from pathology to …

The present manuscript aims to review the history, recent advances, evidence, and
challenges of artificial intelligence (AI) in colonoscopy. Although it is mainly focused on …

Abstract Purpose of Review Artificial intelligence (AI) is a rapidly growing field in
gastrointestinal endoscopy, and its potential applications are virtually endless, with studies …

Artificial intelligence (AI) for disease diagnosis is a hot topic. Recent studies have shown that
AI tools for computer-aided detection (CADe) of polyps during colonoscopy increases the …

Artificial intelligence (AI) enables machines to provide unparalleled value in a myriad of
industries and applications. In recent years, researchers have harnessed artificial …

Artificial intelligence (AI) is a broad descriptor term that includes machine learning (ML) in
which the algorithm, based on the input raw data, analyzes features in a separate dataset …

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 …

Purpose of review To elucidate the advantages and limitations of existing artificial
intelligence technologies for colonoscopy by evaluating the currently available eight …

Research in artificial intelligence (AI) in gastroenterology has increased over the last
decade. Colonoscopy represents the most widely published field with regards to its use in …

Artificial intelligence (AI) for luminal gastrointestinal endoscopy is rapidly evolving. To date,
most applications have focused on colon polyp detection and characterization. However, the …