The gut microbiome has been implicated in cancer in several ways, as specific microbial
signatures are known to promote cancer development and influence safety, tolerability and …

The development of artificial intelligence (AI) algorithms has permeated the medical field
with great success. The widespread use of AI technology in diagnosing and treating several …

Abstract Background & Aims Artificial intelligence (AI) may detect colorectal polyps that have
been missed due to perceptual pitfalls. By reducing such miss rate, AI may increase the …

Background and aims Artificial intelligence has been shown to increase adenoma detection
rate (ADR) as the main surrogate outcome parameter of colonoscopy quality. To which …

Colorectal cancer is one of the most common cancers worldwide, accounting for an annual
estimated 1.8 million incident cases. With the increasing number of colonoscopies being …

Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

Artificial intelligence (AI) centred diagnostic systems are increasingly recognised as robust
solutions in healthcare delivery pathways. In turn, there has been a concurrent rise in …

Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …

Simple Summary With the advancement of artificial intelligence, including machine learning,
the field of oncology has seen promising results in cancer detection and classification …

Background Artificial intelligence (AI) has recently been applied to endoscopy and
questionnaires for the evaluation of oesophageal diseases (ODs). Aim We performed a …