Gastroenterology

Prostate MR image segmentation using a multi-stage network approach.

Prostate cancer (PCa) remains one of the most prevalent cancers among men, with over 1.4 million new...

Clinical implications of computer-aided real-time size estimation of colorectal polyps during colonoscopy: a prospective study.

Accurate polyp size estimation during colonoscopy is crucial for clinical decision making, follow-up...

Colorectal mucosal exposure area assessment using artificial intelligence: a multicenter prospective observational study.

This study proposed a new quality control indicator for colonoscopy, the cumulative colorectal mucos...

Bilirubin biosensors for liver disease management.

Bilirubin is a vital biomarker that plays a significant role in assessing liver function and diagnos...

Identification of uridine phosphatase 1 as a potential therapeutic target in gastric cancer by integrated bioinformatics analysis and experimental validation.

Gastric cancer remains a major global health challenge, and its early diagnosis and prognosis predic...

Screening for Barrett Esophagus and Esophageal Adenocarcinoma: Approaches and Outcomes.

Barrett esophagus (BE) is the only known histological precursor to esophageal adenocarcinoma (EAC). ...

Application of machine learning and deep learning in metabolic dysfunction-associated steatotic liver disease: a systematic review and meta-analysis.

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) can progress to metab...

Advanced liver fibrosis detection using a two-stage deep learning approach on standard T2-weighted MRI.

OBJECTIVES: To develop and validate a deep learning model for automated detection of advanced liver ...

Artificial Intelligence for Quantifying Endoscopic Mucosal Ulceration in Crohn's Disease.

BACKGROUND & AIMS: Endoscopic scoring of Crohn's disease (CD) is challenging, as mucosal disease is ...

Comparative analysis of tumor and mesorectum radiomics in predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.

PURPOSE: Neoadjuvant chemoradiotherapy (CRT) is known to increase sphincter preservation rates and d...

QCNN-Swin-UNet: Quantum Convolutional Neural Network Integrated with Optimized Swin-UNet for Efficient Liver Tumor Segmentation and Classification on Edge Devices.

Accurate segmentation and classification of liver tumors are crucial for early diagnosis and effecti...

Computer-Aided Diagnosis Using the Large-Scale Visual Language Models in Screening of Digestive Endoscopy.

China's response to the high prevalence of digestive tract diseases involves conducting large-scale ...

Microbiome-metabolome generated bile acids gatekeep infliximab efficacy in Crohn's disease by licensing M1 suppression and Treg dominance.

INTRODUCTION: Despite the effectiveness of infliximab in treating Crohn's disease (CD), up to 40 % o...

Real-time Use of Computer-aided Diagnosis in the Optical Diagnosis of Gastric Neoplasia: A Multicenter Randomized Controlled Trial.

BACKGROUND & AIMS: The multicenter, randomized, control trial was conducted to evaluate whether comp...

Efficacy of artificial intelligence for adenoma detection in water exchange colonoscopy: a two-center randomized controlled trial.

Water exchange and artificial intelligence-based computer-aided detection (CADe) separately improve ...

Machine learning pipeline with custom grid search for colorectal Raman spectroscopy data.

Colorectal cancer remains a major health burden, and its early detection is crucial for effective tr...

Artificial intelligence-driven decision tree model for predicting quality of life determinants in women with endometriosis.

OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to it...

Repeatability and Reproducibility of Artificial Imaging-based Digital Pathology for the Evaluation of Liver Fibrosis.

BACKGROUND & AIMS: Fibrosis stage is a key determinant of outcomes in metabolic dysfunction-associat...

Intraductal Papillary Mucinous Neoplasm and Pancreatic Cancer: Opportunity Knocks Twice.

Pancreatic cystic lesions are widely recognized as harbingers of pancreatic cancer. Intraductal papi...

EuroSCORE II: Current limitations and physiological gaps in risk stratification.

Risk stratification remains critical in cardiac surgery, enabling clinicians to predict adverse outc...

A deep learning model using endoscopic images for differential diagnosis of intestinal lymphoma.