Gastroenterology

Controlled release of caffeine from oat globulin nanocomplexes: Biocompatibility and gastrointestinal dynamics.

Caffeine, a widely consumed stimulant, is known for its rapid absorption and clearance, leading to f...

Organoid-Guided Precision Medicine: From Bench to Bedside.

Organoid technology, as an emerging field within biotechnology, has demonstrated transformative pote...

Gastrointestinal transit abnormalities in irritable bowel syndrome and their relation to symptoms.

INTRODUCTION: Measurement of gastrointestinal (GI) transit is increasingly becoming a valuable tool ...

Characterization of Effective Half-Life for Instant Single-Time-Point Dosimetry Using Machine Learning.

Single-time-point (STP) image-based dosimetry offers a more convenient approach for clinical practic...

A deep learning-based clinical-radiomics model predicting the treatment response of immune checkpoint inhibitors (ICIs)-based conversion therapy in potentially convertible hepatocelluar carcinoma patients: a tumor marker prognostic study.

BACKGROUND: The majority of patients with hepatocellular carcinoma (HCC) miss the opportunity of rad...

Probiotic Effects of and on the Growth, Health, and Microbiota of Red Tilapia ( sp.).

This study evaluated the effects of a commercial probiotic containing and on the growth performanc...

Assessing the diagnostic accuracy of ChatGPT-4 in the histopathological evaluation of liver fibrosis in MASH.

BACKGROUND: Large language models like ChatGPT have demonstrated potential in medical image interpre...

Machine learning-based prediction of postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy.

BACKGROUND: Clinically relevant postoperative pancreatic fistula (CR-POPF) following laparoscopic pa...

Exploring the potential of machine learning in gastric cancer: prognostic biomarkers, subtyping, and stratification.

BACKGROUND: Advancements in the management of gastric cancer (GC) and innovative therapeutic approac...

Evaluation of deliverable artificial intelligence-based automated volumetric arc radiation therapy planning for whole pelvic radiation in gynecologic cancer.

This study aimed to develop a deep learning (DL)-based deliverable whole pelvic volumetric arc radia...

High-Precision Intelligent Diagnosis of Pancreatic Cancer: Flowing Diffuseness from Single to Whole.

Raman spectroscopy, as a label-free optical technique, provides a unique solution for tissue diagnos...

ConsisTNet: a spatio-temporal approach for consistent anatomical localization in endoscopic pituitary surgery.

PURPOSE: Automated localization of critical anatomical structures in endoscopic pituitary surgery is...

Development and validation of a novel chronic pancreatitis pathological grade based on artificial intelligence.

BACKGROUND: Effective chronic pancreatitis (CP) treatment requires accurate severity evaluation, but...

Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients.

PURPOSE: This study is aimed to develop and validate a machine learning model, which combined radiom...

Artificial intelligence networks for assessing the prognosis of gastrointestinal cancer to immunotherapy based on genetic mutation features: a systematic review and meta-analysis.

BACKGROUND AND AIM: Artificial intelligence (AI) networks offer significant potential for predicting...

Transformer-based deep learning enables improved B-cell epitope prediction in parasitic pathogens: A proof-of-concept study on Fasciola hepatica.

BACKGROUND: The identification of B-cell epitopes (BCEs) is fundamental to advancing epitope-based v...

Detection of pathologic complete response using deep neural network-based endoscopic evaluation in patients with esophageal cancer receiving neoadjuvant chemotherapy: a nationwide multicenter retrospective study from 46 Japanese esophageal centers.

BACKGROUND: Detecting pathological complete response (pCR) preoperatively facilitated a non-surgical...

Machine Learning-Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi-Omics.

The malignant potential of pancreatic cystic lesions (PCLs) varies dramatically, leading to difficul...

Gadoxetic acid-enhanced MRI for identifying cholangiocyte phenotype hepatocellular carcinoma by interpretable machine learning: individual application of SHAP.

PURPOSE: Cholangiocyte phenotype hepatocellular carcinoma (HCC) is highly invasive. This study aims ...

Artificial intelligence alert system based on intraluminal view for colonoscopy intubation.

Mucosal contact of the tip of colonoscopy causes red-out views, and more pressure may result in perf...

Letter to "The potential of an artificial intelligence for diagnosing MRI images in rectal cancer: multicenter collaborative trial".