Gastroenterology

Perioperative corticosteroids and pancreatic surgery outcomes: a systematic review and meta-analysis combining human expertise and AI support (ChatGPT).

Pancreatic surgery is associated with high postoperative morbidity. The role of corticosteroids (CCS) in pancreatic surgery remains uncertain. Systematic review and meta-analysis conducted in accordance with PRISMA guidelines. Eligible studies included patients undergoing pancreatic resection with perioperative CCS administration. Primary outcomes were mortality, morbidity and surgical site infect...

Virus infections and cancers: from mechanisms to therapeutics.

Viral infections are a major contributor to global cancer incidence and mortality. However, integrative reviews that connect viral classification, carcinogenic mechanisms, tumor microenvironment remodeling, and translational strategies remain limited. This review summarizes the classification and epidemiological characteristics of major oncogenic viruses, including human papillomavirus (HPV), Epst...

Neuropsychological and metabolic interconnectivity in obesity, anorexia and bulimia nervosa - an integrative literature review.

A dysfunctional bi-directional signalling of plural neural networks expresses distinct metabolic disruption with mental health consequences in obesity...

Validation of a pan-ELastography Machine-learning (ELM) score to predict clinically significant portal hypertension in compensated advanced chronic liver disease.

BACKGROUND: Clinically significant portal hypertension (CSPH) drives decompensation and mortality in advanced chronic liver disease (ACLD). Although n...

Context-Aware Multilevel Classification of Semantic Relations in Drug-Adverse Drug Reaction (ADR) Networks-Predicting Drug-Induced Liver Injury (DILI) as a Case Study.

Adverse drug reactions (ADRs) are a major concern for public health and patient safety and a burden in drug discovery, with drug-induced liver injury ...

Leveraging a vendor-neutral deep learning reconstruction algorithm to reduce scan time and enhance image quality in T2-weighted liver MRI.

This study evaluated whether a vendor-neutral deep learning reconstruction (DLR) can improve image quality in accelerated T2-weighted imaging (T2WI) o...

Integrated transcriptomic and experimental validation reveal that N‑acetylcysteine ameliorates acute liver failure through multi‑target synergistic regulation of pyroptosis and related signaling networks.

Pyroptosis is a major contributor to the pathophysiology of acute liver failure (ALF), a condition with high mortality. Although N‑acetylcysteine (NAC...

Large language models enable prognostic stratification of cancer patients using real-world clinical notes.

In medical documentation, vast amounts of unstructured text are generated that are still underutilized in current prognostic models. We investigate th...

Large language models as versatile predictive engines for notifiable infectious diseases.

Accurate forecasting of infectious disease cases and deaths is crucial for public health decision-making. Traditional statistical and machine learning...

AI-Powered Discovery of Rosmarinic Acid as a Novel Ferroptosis Inhibitor for Ulcerative Colitis via Targeting the ALOX15-VDAC1 Axis.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease with limited mechanism-based therapies, and ferroptosis-an iron-dependent lipid peroxi...

Real-Time AI-Based Alert System for Head Occlusion: Ensuring Video Quality for Hepato-Biliary-Pancreatic Board Certification.

Enterococcus hirae Y-HS Alleviates Ulcerative Colitis by Activating PXR/Nrf2-mediated Metabolic-immune Crosstalk.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease with limited non-invasive biomarkers and variable responses to probiotics. This study ...

scVAEAT: An Integrative Attention-Augmented Variational Autoencoder for Predicting Single-Cell Perturbation Responses.

Understanding how individual cells respond to genetic or environmental perturbations is crucial for deciphering disease mechanisms and advancing preci...

Spatial transcriptome and single-cell reveal the role of sorbitol metabolism in hepatocellular carcinoma progression and tumor microenvironment.

BACKGROUND: Metabolic reprogramming represents a hallmark feature of hepatocellular carcinoma (HCC). As a crucial branch of the polyol pathway, the bi...

AI/ML-Enabled Multi-Omics Integration of Host Genetics, Immunity, and the Gut Microbiome in Crohn's Disease: From Diagnosis to Theranostics.

Crohn's disease is a long-term inflammatory disorder arising from the interaction of genetic risk factors, immune system dysfunction, and alterations ...

Development and validation of a machine learning model to preoperatively predict very early recurrence in patients with hepatitis B virus-related hepatocellular carcinoma.

Very early recurrence (within one year) after curative hepatectomy significantly impairs long-term survival in patients with hepatitis B virus (HBV)-r...

Intelligent surgical workflow recognition-based skill assessment for minimally invasive submandibular gland resection.

Artificial Intelligence (AI) is transforming clinical dental practice, with most applications focusing on static images like radiographs. However, the...

Domain-Specific Transfer Learning for Gastric Cancer Tissue Classification.

Gastric cancer is the fifth most diagnosed cancer worldwide and is the fifth most deadly. An essential part of the diagnosis and prognosis of cancer i...

MRI Radiomics for Preoperative Microvascular Invasion Stratification in Hepatocellular Carcinoma: Comparative Analysis of Intratumoral, Peritumoral, and Combined Intratumoral-Peritumoral Approaches-A Systematic Review and Meta-analysis.

Microvascular invasion (MVI) represents a critical prognostic determinant in hepatocellular carcinoma (HCC), yet preoperative prediction remains chall...

Scleral image analysis via artificial intelligence to evaluate inflammatory status in inflammatory bowel disease.

PURPOSE: Among the extraintestinal ocular manifestations of patients with inflammatory bowel disease (IBD), episcleritis is associated with the inflam...