Gastroenterology

Generative chromoendoscopy for gastric neoplasms: A multicenter prospective study.

BACKGROUND AND STUDY AIMS: Generative indigo carmine chromoendoscopy (generative chromoendoscopy), produced using deep learning-based synthetic image transformation, is a novel image-enhanced endoscopic approach whose clinical feasibility has not been validated. This proof-of-concept study evaluated whether generative chromoendoscopy improves the visibility of gastric neoplasms compared with conve...

Evaluation of image quality between hybrid iterative reconstruction and deep learning reconstruction in low dose abdominopelvic CT in low body mass index individuals.

The study aimed to compare image quality between hybrid iterative reconstruction and deep learning image reconstruction (DLIR) in low dose contrast enhanced CT (CECT) abdomen and pelvis scans in low body mass index (BMI) individuals, to determine whether DLIR provides superior image quality at a given dose. Fifty patients with BMI < 18.5 kg/m2 referred for CECT abdomen and pelvis were scanned on a...

Couinaud segment-aware deep learning on point clouds for major liver resection planning.

PURPOSE: In this study, we address the problem of automatic liver resection planning for major surgical procedures, including hemi-hepatectomy and ext...

Multi-omics analysis of the mechanism by ATP13A2 regulates the tumor microenvironment and prognosis in hepatocellular carcinoma.

BACKGROUND AND AIMS: Hepatocellular carcinoma (HCC) is a prevalent global cancer. Most patients with HCC are diagnosed at an advanced stage. Therefore...

Artificial intelligence predicts sex-specific risk of metabolic dysfunction-associated steatotic liver disease.

BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) exhibits well-established sex differences across its risk factors,...

Klf4-Tymp axis promotes inflammation-driven early tumorigenesis by enhancing kras mutation-induced acinar-to-ductal metaplasia through Pi3k/Akt and Mek/Erk pathways.

BACKGROUND: Acinar-to-ductal metaplasia (ADM) is a pivotal step in pancreatic tumorigenesis, reversible in normal contexts but progressing to PanIN an...

Metabolite-centric identification of antimetabolite drug targets across cancer and neurodegenerative diseases.

Antimetabolites, primarily studied in cancer, are novel drugs targeting metabolic networks by mimicking and inhibiting disease-causing metabolites, en...

The application of Artificial Intelligence in the ultrasound-based diagnosis of liver disease: current status, hurdles, and prospects.

Over the past decade, there has been marked progress in artificial intelligence (AI) and its application in medicine. In the field of hepatology, AI c...

Development and Clinical Validation of an Automated Artificial Intelligence System for Bowel Wall Thickness Assessment in Adult Inflammatory Bowel Diseases.

PURPOSE: Intestinal ultrasound (IUS) is used to assess and monitor inflammatory bowel disease (IBD). Bowel wall thickness (BWT) is its key marker, but...

Spermidine suppresses liver fibrosis by remodeling the communication signal between liver sinusoidal endothelial cells and hepatic stellate cells.

Hepatic fibrosis is a pivotal stage in which chronic liver disease progresses from reversible injury to decompensation. Liver sinusoidal endothelial c...

Pancreatic cancer.

Pancreatic ductal adenocarcinoma remains one of the deadliest malignancies, characterized by late diagnosis, aggressive biology and limited therapeuti...

An interpretable deep learning biomarker for prognostication and prediction of adjuvant chemotherapy benefit in gastric cancer.

Prognostic stratification in gastric cancer (GC) currently relies on the tumour-node-metastasis (TNM) staging system, which incompletely captures tumo...

Machine learning-based prognostic signature integrating mitochondrial function and programmed cell death patterns in pancreatic adenocarcinoma.

The interplay between mitochondria and programmed cell deaths (PCD) is associated with tumor pathogenesis. However, the specific roles of genes relate...

A Machine-Learning Assisted Genetic Risk Score Identifies Improved Weight Loss After Endoscopic Sleeve Gastroplasty.

BACKGROUND AND AIMS: Obesity remains an epidemic associated with significant health consequences. Endoscopic sleeve gastroplasty (ESG) can lead to sig...

Design and implementation of an end-to-end AI-driven colonoscopy recall workflow at scale.

OBJECTIVES: To develop a large-language-model (LLM)-centric workflow flow extraction and migration of clinician-documented colonoscopy recall recommen...

The value of the serum cytokine-to-immune ratio model in predicting the progression-free survival after interventional therapy for hepatocellular carcinoma.

OBJECTIVE: To develop and validate a prognostic nomogram for predicting progression-free survival (PFS) in patients with hepatocellular carcinoma (HCC...

Machine learning-driven clinical decision support for liver cirrhosis: a gut microbiome-based web prediction model with explainable AI integration.

BACKGROUND: Liver cirrhosis (LC) is a chronic liver disease with global prevalence. Current diagnostic methods for LC still face limitations in safety...

Cumulative stress hyperglycemia ratio exposure and dynamic trajectories reveal prognostic determinants of acute hyperlipidemic pancreatitis: an 5-year cohort study.

BACKGROUND: The stress hyperglycemia ratio (SHR) and glycemic variability (GV) both reflect acute glycemic fluctuations, with established roles in car...

Genetics of bipolar disorder: Translating discoveries to biological insights and clinical decision support.

Bipolar disorder (BD) is a clinically heterogenous mental disorder with a diversity in clinical trajectories and treatment response. Twin studies have...

Deep learning-based dose prediction in proton beam therapy for hepatocellular carcinoma: comparison of network architectures and loss functions.

In proton beam therapy (PBT) for hepatocellular carcinoma (HCC), deep learning (DL)-based dose prediction offers clinical value by providing immediate...