Inflammatory Bowel Disease

Considerations and targeted approaches to identifying bad actors in exposure mixtures.

Variable importance is a key statistical issue in exposure mixtures, as it allows a ranking of expos...

Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol.

INTRODUCTION: Inflammatory bowel diseases (IBD) are immune-mediated conditions that are increasing i...

Identifying risk factors of anti-TNF induced skin lesions and other adverse events in paediatric patients with inflammatory bowel disease.

OBJECTIVES: While higher infliximab (IFX) trough concentrations (TCs) are associated with better out...

Using Histologic Image Analysis to Understand Biophysical Regulations of Epithelial Cell Morphology.

Epithelial mechanics and mechanobiology have become 2 important research fields in life sciences and...

Can artificial intelligence replace endoscopists when assessing mucosal healing in ulcerative colitis? A systematic review and diagnostic test accuracy meta-analysis.

BACKGROUNDS AND AIMS: Mucosal healing (MH) in inflammatory bowel diseases (IBD) is an important land...

Effectiveness of strategies to suppress antibodies to infliximab in pediatric inflammatory bowel disease.

OBJECTIVES: Antibodies to infliximab (ATIs) are associated with loss of response in children with in...

Effects of Transcranial Direct Current Stimulation on Cognitive Deficits in Depression: A Systematic Review.

BACKGROUND: Major depressive disorder is the leading cause of mental health-related burden globally ...

Colonoscopy setting and impact on statistical significance in Artificial Intelligence trials.

A narrative review of digital biomarkers in the management of major depressive disorder and treatment-resistant forms.

INTRODUCTION: Depression is the leading cause of worldwide disability, until now only 3% of patients...

Vitamin D Deficiency in Patients Hospitalized for Heart Failure Living in the Tropics.

BACKGROUND AND OBJECTIVES: Vitamin D, as a steroid hormone, has multiple effects on human body and i...

Enhancing human-AI collaboration: The case of colonoscopy.

Diagnostic errors impact patient health and healthcare costs. Artificial Intelligence (AI) shows pro...

Optimization of Rituximab Therapy in Adult Patients With PLA2R1-Associated Membranous Nephropathy With Artificial Intelligence.

INTRODUCTION: Rituximab is a first-line treatment for membranous nephropathy. Nephrotic syndrome lim...

An intronic genetic variant of ZHX2 predicts response to pegylated interferon α therapy in HBeAg-positive chronic hepatitis B patients.

ZHX2 plays a crucial role in host immunity and modulates hepatitis B virus (HBV) replication. Howeve...

AI (Artificial Intelligence) as an IA (Intelligent Assistant): ChatGPT for Surveillance Colonoscopy Questions.

Leveraging telemedicine in gastroenterology and hepatology: a narrative review.

BACKGROUND AND OBJECTIVE: Over the years, telemedicine has played a prominent role in delivering hea...

Artificial intelligence quantifying endoscopic severity of ulcerative colitis in gradation scale.

OBJECTIVES: Existing endoscopic scores for ulcerative colitis (UC) objectively categorize disease se...

Application of artificial intelligence in colorectal cancer screening by colonoscopy: Future prospects (Review).

Colorectal cancer (CRC) has become a severe global health concern, with the third‑high incidence and...

Managing Ulcerative Colitis and Crohn's Disease: Should the Target Be Endoscopy, Histology, or Both?

In inflammatory bowel disease (IBD), mucosal healing is the primary long-term treatment goal, encomp...

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

With the advances in endoscopic technologies and artificial intelligence, a large number of endoscop...

PET/CT-based deep learning grading signature to optimize surgical decisions for clinical stage I invasive lung adenocarcinoma and biologic basis under its prediction: a multicenter study.

PURPOSE: No consensus on a grading system for invasive lung adenocarcinoma had been built over a lon...

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.

Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe dis...