Gastroenterology

Inflammatory Bowel Disease

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

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Showing 820-840 of 2,563 articles
LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images

Colorectal cancer (CRC) is a major global cause of cancer-related deaths, with early polyp detecti...

3D Densification for Multi-Map Monocular VSLAM in Endoscopy

Multi-map Sparse Monocular visual Simultaneous Localization and Mapping applied to monocular endos...

Toward a Human-Centered AI-assisted Colonoscopy System in Australia

While AI-assisted colonoscopy promises improved colorectal cancer screening, its success relies on...

Predicting Treatment Response in Body Dysmorphic Disorder with Interpretable Machine Learning

Body Dysmorphic Disorder (BDD) is a highly prevalent and frequently underdiagnosed condition chara...

Accurate, Robust, and Scalable Machine Abstraction of Mayo Endoscopic Subscores From Colonoscopy Reports.

BACKGROUND: The Mayo endoscopic subscore (MES) is an important quantitative measure of disease activ...

Mar 2025 38533919
EndoPBR: Material and Lighting Estimation for Photorealistic Surgical Simulations via Physically-based Rendering

The lack of labeled datasets in 3D vision for surgical scenes inhibits the development of robust 3...

Test-Time Modality Generalization for Medical Image Segmentation

Generalizable medical image segmentation is essential for ensuring consistent performance across d...

Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models

Colorectal cancer (CRC) is a significant global health concern, and early detection through screen...

SHADeS: Self-supervised Monocular Depth Estimation Through Non-Lambertian Image Decomposition

Purpose: Visual 3D scene reconstruction can support colonoscopy navigation. It can help in recogni...

Towards Polyp Counting In Full-Procedure Colonoscopy Videos

Automated colonoscopy reporting holds great potential for enhancing quality control and improving ...

Evaluation of risk factors for thromboembolic events in multiple myeloma patients using multiple machine learning models.

Venous thromboembolic events (VTE) is a frequent complication in multiple myeloma (MM) patients, rai...

Feb 2025 39960959
Diverse Image Generation with Diffusion Models and Cross Class Label Learning for Polyp Classification

Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing w...

A Temporal Convolutional Network-Based Approach and a Benchmark Dataset for Colonoscopy Video Temporal Segmentation

Following recent advancements in computer-aided detection and diagnosis systems for colonoscopy, t...

Prevalence, incidence, and mortality of inflammatory bowel disease in the Netherlands: development and external validation of machine learning models.

BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory ...

Feb 2025 39945210
Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8

Deep learning methods have demonstrated strong performance in objection tasks; however, their abil...

The Application Value of an Artificial Intelligence-Driven Intestinal Image Recognition Model to Evaluate Intestinal Preparation before Colonoscopy.

Artificial intelligence (AI), with advantages such as automatic feature extraction and high data pr...

Jan 2025 39862028
Polyp detection in colonoscopy images using YOLOv11

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers all over the world. It start...

Artificial Intelligence-assisted Video Colonoscopy for Disease Monitoring of Ulcerative Colitis: A Prospective Study.

BACKGROUNDS AND AIMS: The Mayo endoscopic subscore [MES] is the most popular endoscopic disease acti...

Jan 2025 38828734
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