Gastroenterology

Inflammatory Bowel Disease

Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.

2,051 articles
Stay Ahead - Weekly Inflammatory Bowel Disease research updates
Subscribe
Browse Specialties
Showing 190-210 of 2,051 articles
Explainable multimodal prediction of treatment-resistance in patients with depression leveraging brain morphometry and natural language processing.

Although 20 % of patients with depression receiving treatment do not achieve remission, predicting t...

Role of the artificial intelligence in the management of T1 colorectal cancer.

Approximately 10% of submucosal invasive (T1) colorectal cancers demonstrate extraintestinal lymph n...

Endocuff With or Without Artificial Intelligence-Assisted Colonoscopy in Detection of Colorectal Adenoma: A Randomized Colonoscopy Trial.

INTRODUCTION: Both artificial intelligence (AI) and distal attachment devices have been shown to imp...

Impact of AI-aided colonoscopy in clinical practice: a prospective randomised controlled trial.

OBJECTIVE: Colorectal cancer (CRC) has a significant role in cancer-related mortality. Colonoscopy, ...

Impact of study design on adenoma detection in the evaluation of artificial intelligence-aided colonoscopy: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Randomized controlled trials (RCTs) have reported that artificial intelligence ...

A computer-aided system improves the performance of endoscopists in detecting colorectal polyps: a multi-center, randomized controlled trial.

BACKGROUND: Up to 45.9% of polyps are missed during colonoscopy, which is the major cause of post-co...

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their siz...

A Framework for the Evaluation of Human Machine Interfaces of Robot-Assisted Colonoscopy.

UNLABELLED: The Human Machine Interface (HMI) of intraluminal robots has a crucial impact on the cli...

An Overview of Advances in Rare Cancer Diagnosis and Treatment.

Cancer stands as the leading global cause of mortality, with rare cancer comprising 230 distinct sub...

Pathogenesis and precision medicine for predicting response in inflammatory bowel disease: advances and future directions.

The pathogenesis of inflammatory bowel disease (IBD) is complex and multifactorial. Undertreated dis...

Two-stage deep-learning-based colonoscopy polyp detection incorporating fisheye and reflection correction.

BACKGROUND AND AIM: Colonoscopy is a useful method for the diagnosis and management of colorectal di...

Density clustering-based automatic anatomical section recognition in colonoscopy video using deep learning.

Recognizing anatomical sections during colonoscopy is crucial for diagnosing colonic diseases and ge...

Predicting delayed remission in Cushing's disease using radiomics models: a multi-center study.

PURPOSE: No multi-center radiomics models have been built to predict delayed remission (DR) after tr...

Linked-color imaging with or without artificial intelligence for adenoma detection: a randomized trial.

BACKGROUND: Adenoma detection rate (ADR) is an important indicator of colonoscopy quality and colore...

Pain-free oral delivery of biologic drugs using intestinal peristalsis-actuated microneedle robots.

Biologic drugs hold immense promise for medical treatments, but their oral delivery remains a daunti...

Causal factors in childhood and adolescence leading to anabolic-androgenic steroid use: A machine learning approach.

BACKGROUND: Prior research has demonstrated associations between anabolic-androgenic steroid (AAS) u...

Browse Specialties