Gastroenterology

Factors associated with delayed diagnosis of fibrotic interstitial lung disease: a retrospective cohort study.

BACKGROUND: Timely diagnosis and treatment of fibrotic interstitial lung disease (ILD) is crucial to preserve lung function and limit healthcare costs. However, diagnosis is challenging and thus often delayed. Factors associated with delayed diagnosis of fibrotic ILD are poorly understood. This study assessed time to diagnosis among patients with fibrotic ILD and identified factors associated with...

Comprehensive and low-cost machine learning models for predicting MASLD prevalence: cross-sectional evidence from the amol cohort study (AmolCS).

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a growing global health burden, yet early detection remains difficult, especially in low-resource settings. This study aimed to develop an interpretable machine learning model using both conventional and non-invasive, low-cost predictors to assess the probability of MASLD in the general population. Data from 3120 adults we...

Machine learning prediction of increased healthcare utilization in colectomy for inflammatory bowel disease.

PURPOSE: Healthcare spending for patients with inflammatory bowel disease (IBD) has steadily increased over the past few decades. While some of the in...

Machine Learning-Assisted SERS Quantification of Sialylated Alpha-Fetoprotein: From Single-Cell Analysis to Hepatocellular Carcinoma Risk Assessment.

Sialylated alpha-fetoprotein (sAFP) is a very potential marker for the pathogenesis exploration and clinical assessment of hepatocellular carcinoma (H...

Evaluating the Accuracy of ChatGPT-4o in Addressing Complex Clinical Questions Based on NCCN Guidelines for Rectal Adenocarcinoma.

INTRODUCTION: The management of rectal adenocarcinoma requires navigation of complex, branching guideline pathways encompassing neoadjuvant sequencing...

Identification of exosome-related genes signature based on bioinformatics and machine learning for prognostic prediction in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) is a prevalent malignant tumor with increasing incidence and mortality rates worldwide. Exosomes are secretory ves...

A novel prognostic zinc finger gene model for hepatocellular carcinoma via machine learning.

BACKGROUND: Hepatocellular carcinoma (HCC) is a highly lethal malignancy with poor prognosis, and effective biomarkers for predicting immunotherapy re...

Single-cell spatial landscape of aggrephagy activity stratifies hepatocellular carcinoma neutrophils and delivers a 5-gene diagnostic panel for patient stratification.

BACKGROUND: Hepatocellular carcinoma (LIHC) features a complex tumor microenvironment (TME) where tumor-associated neutrophils (TANs) show significant...

Advances in CT and MRI for Yttrium-90 Radioembolization of Hepatocellular Carcinoma.

RATIONALE AND OBJECTIVES: Transarterial radioembolization (TARE) is increasingly used for patients with hepatocellular carcinoma (HCC) across Barcelon...

Curated endoscopic retrograde cholangiopancreatography images dataset.

Endoscopic Retrograde Cholangiopancreatography (ERCP) is a key procedure in the diagnosis and treatment of biliary and pancreatic diseases. Artificial...

From polyamine metabolism genes to immunoproteasome subunits: a transcriptome-based screening of candidate biomarkers in Crohn's disease.

This study explored Polyamine metabolism (PM)-related biomarkers and their regulatory processes in Crohn's disease (CD) using three transcriptome data...

Inflammatory marker-driven deep learning model for postoperative gastric cancer prognosis.

BACKGROUND: Prognostic prediction following gastric cancer surgery plays a pivotal role in postoperative management, helping to optimize therapeutic s...

Deep Learning-Based Standard Section Recognition and Multi-Organ Segmentation in Upper Abdominal Ultrasound.

OBJECTIVE: To develop and evaluate deep learning models for upper abdominal ultrasound standard section recognition and downstream multi-organ segment...

Tissue identity is the dominant determinant of cross-species transferability of a porcine developmental programme.

BACKGROUND: Reproducibility and cross-species translation using the domestic pig (Sus scrofa) are limited by the lack of a standardised molecular fram...

Leveraging data-driven risk-adapted surveillance strategies after disease progression in locally advanced rectal cancer.

BACKGROUND: Post-progression survival (PPS) is a critical endpoint in oncology, yet predictors of PPS and data-driven strategies for post-progression ...

ESD-VesNet: uncertainty-aware vessel segmentation network for endoscopic submucosal dissection with hard negative mining.

PURPOSE: Preventing intraoperative bleeding in endoscopic submucosal dissection (ESD) relies on the timely identification and pre-coagulation of submu...

Comprehensive identification of three key genes and three key DNA methylation CpG sites associated with prognosis and prediction in colon adenocarcinoma.

Colon adenocarcinoma (COAD) is a common cancer with high incidence and mortality rates worldwide. DNA methylation has a significant impact on the occu...

Development of a predictive model for postoperative body mass index and diabetes outcomes after metabolic bariatric surgery: retrospective cohort study.

BACKGROUND: Predicting postoperative body mass index (BMI) trajectories and long-term type 2 diabetes (T2D) remission after bariatric surgery remains ...

Reply to: From traditional to artificial intelligence-driven approaches: Revolutionizing personalized and precision nutrition in inflammatory bowel disease.

Homogeneity of Liver Fat Distribution Serves as a Diagnostic Marker for Metabolic Dysfunction-Associated Steatohepatitis.

RATIONALE AND OBJECTIVES: To characterize liver fat distribution in metabolic dysfunction-associated steatohepatitis (MASH) and propose a magnetic res...