Gastroenterology

AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression.

Liquefied Petroleum Gas (LPG) recovery in debutanizer columns presents challenges in balancing opera...

Machine learning-driven multi-omics analysis identifies a prognostic gene signature associated with programmed cell death and metabolism in hepatocellular carcinoma.

Serum peptide biomarkers by MALDI-TOF MS coupled with machine learning for diagnosis and classification of hepato-pancreato-biliary cancers.

This study aimed to investigate the potential of peptide mass fingerprints (PMFs) of the serum pepti...

Multi-institutional study for comparison of detectability of hypovascular liver metastases between 70- and 40-keV images: DELMIO study.

PURPOSE: To compare the lesion detectability of hypovascular liver metastases between 70-keV and 40-...

Integrating bioinformatics analysis, machine learning, and experimental validation to identify pyroptosis-related genes in the diagnosis of sepsis combined with acute liver failure.

BACKGROUND: Sepsis is frequently combined with acute liver failure (ALF), a critical determinant in ...

Artificial intelligence-assisted colonoscopy: excellent results, but will mucosal exposure devices push this boundary?

Comments on "The impact of artificial intelligence on the adenoma detection rate: comparison between experienced, intermediate and trainee endoscopists' adenoma detection rate".

MRI-based radiomics for preoperative T-staging of rectal cancer: a retrospective analysis.

PUROPOSE: Preoperative T-staging in rectal cancer is essential for treatment planning, yet conventio...

Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer.

Pancreatic cancer (PC) is a highly aggressive malignancy in humans, where early diagnosis significan...

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic...

Intraoperative navigation system for liver resection based on edge-AI and multimodal AI.

BACKGROUND: Traditional intraoperative navigation methods show insufficient adaptability in dynamic ...

Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection.

Complex artificial intelligence models, like deep neural networks, have shown exceptional capabiliti...

CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development.

Artificial intelligence (AI) holds immense potential to transform gastrointestinal endoscopy by redu...

Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.

Squamous cell carcinoma (SCC) and high-grade dysplasia (HGD) are two different pathological entities...

Multi-module UNet++ for colon cancer histopathological image segmentation.

In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellul...

An evaluation of rectum contours generated by artificial intelligence automatic contouring software using geometry, dosimetry and predicted toxicity.

Objective This study assesses rectum contours generated using a commercial deep learning auto-co...

Response Assessment in Hepatocellular Carcinoma: A Primer for Radiologists.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide, necess...

The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer.

PURPOSE: To develop and validate a hybrid radiomics model to predict the overall survival in pancrea...

Renji endoscopic submucosal dissection video data set for colorectal neoplastic lesions.

Artificial intelligence advancements have significantly enhanced computer-aided intervention, learni...

A Machine Learning-Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan.

BACKGROUND: Hepatic encephalopathy (HE) contributes significantly to mortality among patients with l...

Clinical applications of hyperspectral imaging in gastroenterology and hepatology: A systematic review.

BACKGROUND: Hyperspectral imaging (HSI), a high-throughput, three-dimensional technology initially d...