Gastroenterology

Inflammatory Bowel Disease

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

2,563 articles
Stay Ahead - Weekly Inflammatory Bowel Disease research updates
Subscribe
Browse Categories
Showing 883-903 of 2,563 articles
Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning

Ulcerative Colitis (UC) is an incurable inflammatory bowel disease that leads to ulcers along the ...

Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation

Accurate medical image segmentation is essential for effective diagnosis and treatment planning bu...

AI-luminating Artificial Intelligence in Inflammatory Bowel Diseases: A Narrative Review on the Role of AI in Endoscopy, Histology, and Imaging for IBD.

Endoscopy, histology, and cross-sectional imaging serve as fundamental pillars in the detection, mon...

Dec 2024 38452040
[Effect of an artificial intelligence-assisted recognition system on colonoscopy quality].

To explore the value of the artificial intelligence (AI)-assisted recognition system in the detecti...

Nov 2024 39482075
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records

Colonoscopy screening effectively identifies and removes polyps before they progress to colorectal...

Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series

Anomaly detection in clinical time-series holds significant potential in identifying suspicious pa...

YouTube Video Analytics for Patient Engagement: Evidence from Colonoscopy Preparation Videos

Videos can be an effective way to deliver contextualized, just-in-time medical information for pat...

MicroHDF: predicting host phenotypes with metagenomic data using a deep forest-based framework.

The gut microbiota plays a vital role in human health, and significant effort has been made to predi...

Sep 2024 39446191
External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs.

Purpose To assess the prognostic value of a deep learning-based chest radiographic age (hereafter, C...

Sep 2024 39046324
Hyperspectral imaging facilitating resect-and-discard strategy through artificial intelligence-assisted diagnosis of colorectal polyps: A pilot study.

BACKGROUND AND AIMS: The resect-and-discard strategy for colorectal polyps based on accurate optical...

Sep 2024 39320133
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical Applications

Endoscopic surgery relies on two-dimensional views, posing challenges for surgeons in depth percep...

Effect of artificial intelligence implementation to the latest generation 4K colonoscopy.

<b>Indroduction:</b> Colonoscopy is an acclaimed screening test to detect colorectal can...

Aug 2024 39465634
Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methods.

Gut microbes is a crucial factor in the pathogenesis of type 1 diabetes (T1D). However, it is still ...

Jul 2024 38376798
Toward Autonomous Marker Localization for Lumbar Epidural Steroid Injection Robot.

This study compares the effectiveness of the traditional minimum circle detection strategy, i.e. Wel...

Jul 2024 40039798
Prognostication of Hepatocellular Carcinoma Using Artificial Intelligence.

Hepatocellular carcinoma (HCC) is a biologically heterogeneous tumor characterized by varying degree...

Jun 2024 38807336
Machine Learning-based Characterization of Longitudinal Health Care Utilization Among Patients With Inflammatory Bowel Diseases.

BACKGROUND: Inflammatory bowel disease (IBD) is associated with increased health care utilization. F...

May 2024 37454280
Integrating artificial intelligence techniques for advancements in colorectal cancer management: navigating past and predicting future direction.

Artificial Intelligence (AI) in the last few years has emerged as a valuable tool in managing colore...

Apr 2024 38712427
Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance.

PURPOSE: To apply deep learning algorithms to histopathology images, construct image-based subtypes ...

Jan 2024 38231003
Browse Categories