Background & Aims One-fourth of colorectal neoplasias are missed during screening
colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems allow for …

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 detection of …

Gastric cancer remains the second most frequent cause of cancer-related mortality in the
world. Screening programs in some Asian countries are impractical in the majority of other …

Background & Aims Artificial Intelligence (AI) could support cost-saving strategies for colonoscopy
because of its accuracy in the optical diagnosis of colorectal polyps. However, AI must …

Objective. Treatment with tumour necrosis factor antagonists (anti-TNF) has been recognized
as a risk factor for tuberculosis (TB) reactivation. Our aim was to evaluate risk of TB …

Background and Aims False positive (FP) results by computer-aided detection (CADe) hamper
the efficiency of colonoscopy by extending examination time. Our aim was to develop a …

Objectives: In this study, we aimed to characterize the SARS-CoV-2-specific T cell response
detected by the QuantiFERON SARS-CoV-2 research use only assay in terms of accuracy …

Crohn disease (CD) and ulcerative colitis (UC) are chronic forms of inflammatory bowel disease
(IBD) whose pathogenesis is only poorly understood. Estrogens have a complex role in …

Background and aims The effectiveness of adalimumab in the treatment of ulcerative colitis
is under debate. Although controlled trials have shown that adalimumab is significantly better …

Background Infliximab and adalimumab are widely used for the treatment of Crohn’s disease
and ulcerative colitis. Aim To compare the long-term efficacy and safety of infliximab and …