Gastroenterology

A novel system design for monocular laser assisted capsule endoscopy for 3D small bowel modeling.

The long, tortuous, and tissue-homogeneous structure of the small bowel makes image-based three-dime...

Image quality improvement of liver ultrasound using unsupervised deep learning.

Chronic liver disease (CLD) and subsequent liver cirrhosis (LC) are common causes of death and healt...

Machine Learning Prediction of Hospital Stay in Pediatric Typhoid Intestinal Perforation: Pilot Study.

INTRODUCTION: Typhoid intestinal perforation (TIP) remains a significant cause of pediatric morbidit...

Artificial Intelligence in Rhinology: A State-of-the-Art Review of Clinical Readiness and Implementation Pathways.

OBJECTIVE: To critically evaluate advances in artificial intelligence (AI) within rhinology, focusin...

The needle study: Machine learning as a new method for case-finding in celiac disease.

OBJECTIVES: Despite a well-defined diagnostic work-up, uncertainties persist regarding celiac diseas...

Machine Learning Models Using Hospital Admission Characteristics Do Not Optimally Predict Nosocomial Infection Development in a Global Cirrhosis Cohort.

BACKGROUND: Nosocomial infections (NI) in cirrhosis are associated with high mortality but could be ...

Automated Eosinophil Quantification Using Deep Learning to Predict Therapy Escalation in Pediatric Ulcerative Colitis.

BACKGROUND: Emerging evidence implicates eosinophils as important modulators of disease activity and...

LQUnet: a vascular segmentation network based on multi-scale feature fusion and hierarchical self distillation.

Vessel segmentation has important clinical significance in medical image analysis, especially in the...

Medicinal and Edible Plants for the Management of Inflammatory Bowel Disease: Synergistic Modulation of the Microbiota-Metabolite-Immune Axis.

Inflammatory bowel disease (IBD) is a chronic condition driven by the intertwined interplay of gut d...

Identifying cathepsin B as a key regulator of programmed cell death in acute pancreatitis.

Acute pancreatitis (AP) lacks effective therapies, and excessive programmed cell death (PCD) drives ...

Standardized scoring systems-essential for the AI Era in small-bowel capsule endoscopy.

Radiomics and artificial intelligence in pancreatic cyst characterization: future or fiction?

Pancreatic cystic lesions (PCLs) are increasingly detected due to the widespread use of cross-sectio...

Radiomics based on multiphasic contrast-enhanced CT combined with clinical features for differentiating hypovascular pancreatic neuroendocrine tumors and pancreatic ductal adenocarcinoma.

Toward Precise Risk Stratification after the Functional Cure of Chronic Hepatitis B.

Chronic hepatitis B remains a major global health challenge despite the advances in antiviral therap...

Machine learning-based identification of key genes underlying sex differences in hepatocellular carcinoma and targeted drug screening.

Hepatocellular carcinoma (HCC) shows a marked predominance in men, yet the molecular basis for this ...

Prediction of trajectories and outcomes in early-stage metabolic dysfunction-associated steatotic liver disease: a narrative review.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver...

Artificial Intelligence in Colonoscopy Surveillance for Lynch Syndrome: Emerging Evidence, Lessons Learned From Average-Risk Populations, and Future Directions.

Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome and is characteri...

Urinary Metabolomics and One-Class Classification To Discover Children Affected by Bile Acid Synthetic Disorders: A Case-Study.

Bile acid synthetic disorders (BASDs) are a group of rare metabolic disorders that involve the synth...

In Silico Prediction of Potential Bile Salt Export Pump Inhibitors Using Pharmacophore Models and Consensus Machine Learning.

The ATP-dependent bile salt export pump (BSEP) is a transporter responsible for moving bile salts fr...

Deep learning-based renal artery segmentation and angle estimation for registration of endoscopic images and 3D models in robot-assisted partial nephrectomy.

PURPOSE: Image-guided robot-assisted partial nephrectomy (RAPN) that incorporates three-dimensional ...

A time-series feature-based nomogram for the prediction of severe acute pancreatitis.