Gastroenterology

Machine Learning in Predicting the Risk of Esophagogastric Variceal Bleeding Among Patients With Liver Cirrhosis: Systematic Review and Meta-Analysis.

BACKGROUND: Liver cirrhosis (LC) can lead to several complications. Esophageal variceal bleeding (EV...

Impact of an AI prognostic tool on clinician performance in colorectal liver metastases.

While thousands of AI prediction models are published annually, few are adopted into routine practic...

Deep learning-enabled scaffolding of spatial arrays of PfCSP epitopes.

Malaria is a leading cause of disease in developing countries. The licensed malaria vaccine RTS,S/AS...

irAE-GPT: leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasets.

BACKGROUND: Large language models (LLMs) have emerged as transformative technologies, revolutionisin...

Magnetically controlled capsule endoscopy: Innovations, standardized practice, and emerging clinical roles.

Capsule endoscopy has transformed small bowel evaluation but remains limited for gastric examination...

Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study.

BACKGROUND: Colorectal cancer liver metastasis (CRLM) presents considerable challenges in both diagn...

Development and external validation of a machine learning model for predicting chronic critical illness in ICU patients with acute pancreatitis.

BACKGROUND: To develop and validate a machine learning (ML) model to assess the risk of chronic crit...

Imaging-based stratification of Claudin 18.2-positive gastric adenocarcinoma using 18F-FDG PET/CT radiomics.

PURPOSE: This study aimed to develop and validate a non-invasive, multimodal radiomics model based o...

Screening and dynamic change study of microbial and metabolite markers for calf diarrhea based on multi-omics and machine learning.

UNLABELLED: Neonatal calf diarrhea is a leading cause of calf mortality and substantial economic los...

Deep learning reconstruction for 40-keV virtual monoenergetic CT of colon cancer: evaluation of image quality and edge sharpness.

BACKGROUND: Virtual monoenergetic imaging (VMI) at 40 keV improves iodine attenuation in colon cance...

HCCaging: a liver physiological aging-related biomarker for hepatocellular carcinoma diagnosis based on transcriptome data.

Aging is a fundamental biological process that influences cancer development in a context-dependent ...

A fully automated CT-based pelvimetry pipeline for quantifying mid-pelvic surgical workspace in rectal cancer.

PURPOSE: Pelvimetry may aid preoperative planning in rectal cancer surgery, yet manual measurements ...

High-resolution LA-ICP-MS imaging combined with attention-enhanced residual network reveal cadmium-induced metal distribution heterogeneity and toxicity in Mytilus galloprovincialis.

Marine bivalves often face heavy metal stress, yet we still lack of high-resolution way to observe t...

Temporal AI-assisted compressed sensing for high-resolution, motion-robust small-bowel MR enterography without antiperistaltic agents: a feasibility study.

OBJECTIVES: To evaluate whether temporal AI-assisted compressed sensing (tACS) enables high-resoluti...

A High-Quality Endoscopic Image Dataset with Annotated Recurrent Laryngeal Nerve for AI-Assisted Thyroid Surgery.

The integration of artificial intelligence (AI) into surgical navigation represents a pivotal advanc...

Intestinal microbiome and acute transplanted kidney rejection - results of a single-center, case-control study.

Machine learning in the prediction of liver iron concentration and iron chelation therapy adjustment.

OBJECTIVES: Iron chelation therapy titration is managed by hematologists who monitor iron levels and...

Computer-assisted adenoma detection colonoscopy with an ENDO-AID artificial intelligence system and Endocuff- versus Endocuff-assisted colonoscopy: a randomized controlled trial.

BACKGROUND: Compared with conventional colonoscopy, computer-assisted adenoma detection (CADe) colon...

Gut microbial extracellular vesicles modulate the development of metabolic dysfunction-associated steatohepatitis through the gut-liver axis.

Metabolic dysfunction-associated steatohepatitis (MASH) represents a growing global health challenge...

FT-NIR and HPLC combined with machine learning for origin traceability and prediction of characteristic component content in Gastrodia elata.

As a dual-purpose plant with both medicinal and culinary applications, Gastrodia elata (GE) benefits...

Transcriptomic Plasticity Is a Hallmark of Metastatic Pancreatic Cancer.

UNLABELLED: Metastasis is the leading cause of cancer deaths. To develop strategies for intercepting...