Gastroenterology

Artificial Intelligence in FIT-Positive Colonoscopy: Balancing Detection Metrics and Clinical Impact.

Multi-modal deep learning model for predicting recurrence of moderately severe and severe acute pancreatitis.

PURPOSE: To overcome the limitations of single-modality predictors by developing and validating a mu...

Identification and validation of key PANoptosis-related genes via integrative machine learning and single-cell sequencing in AILI.

Acetaminophen (APAP) overdose is a leading cause of drug-induced liver injury and acute liver failur...

Predicting infected pancreatic necrosis in acute pancreatitis using machine learning models and feature selection.

Infected pancreatic necrosis (IPN) is a life-threatening complication of acute pancreatitis (AP), an...

Metabolic liver imaging: What you need to know.

Metabolic liver diseases represent a growing global health concern with significant diagnostic and p...

Nanozymes for Liver Disease Therapy: Advances in Catalytic Activity, Targeting Strategies, and Clinical Translation.

Natural and artificial enzymes have emerged as promising candidates for biomedical applications, pos...

Integrated Single-Cell and Bulk Transcriptome Analysis Reveals the Prognostic Significance and Immune Regulatory Mechanisms of Sialylation in Hepatocellular Carcinoma.

Liver Hepatocellular Carcinoma (LIHC) is a high-mortality primary liver cancer. Its treatment and pr...

Use of Bioinformatics and Machine Learning to Identify Circadian Rhythm Disruption- and Endoplasmic Reticulum Stress-Associated Biomarkers in Nonalcoholic Fatty Liver Disease.

Nonalcoholic fatty liver disease (NAFLD) is a common chronic liver disorder closely linked to circad...

Predicting non-alcoholic fatty liver disease (NAFLD) using machine learning algorithms: Evidence from a large-scale community cohort in Taiwan.

Closely associated with metabolic disorders, non-alcoholic fatty liver disease (NAFLD) substantially...

The regional landscape of the human colon culturome in health and cystic fibrosis.

UNLABELLED: Cystic fibrosis (CF) alters gut physiology, yet its impact on microbial communities acro...

Comparative urinary metabolomics reveals unique and shared pathways in COVID-19 and liver diseases.

INTRODUCTION: The COVID-19 pandemic and liver diseases both cause significant metabolic disturbances...

Evaluating the cost-effectiveness of artificial intelligence in Barrett's surveillance.

Artificial intelligence (AI) has emerged as a promising tool to detect early dysplasia in Barrett's ...

Machine learning framework for early identification of high-spending Crohn's disease patients using administrative claims.

OBJECTIVES: To develop and evaluate a machine learning (ML) model that predicts Crohn's disease (CD)...

Delta radiomics-based nomogram for preoperative prediction vessels encapsulating tumor clusters (VETC) and prognosis in hepatocellular carcinoma using dynamic contrast-enhanced CT.

BACKGROUND: Vessels encapsulating tumor clusters (VETC) serve as a crucial adverse prognostic indica...

From scalpel to robot: evolution and outlook of oncologic robotic surgery in Colombia.

INTRODUCTION: Robotic surgery has transformed the management of oncologic pathologies by offering mi...

Identifying Subgroups of People Living With HIV in British Columbia, Canada Based on Sexually Transmitted and Blood-Borne Infection Testing and Diagnostic Laboratory Data: A Retrospective Cohort Study.

BACKGROUND AND AIMS: Although combination antiretroviral therapy has decreased morbidity and mortali...

Computer-Aided Detection-Assisted Colonoscopy Teaches Gaze to Improve Adenoma Detection in First-Year Gastroenterology Fellows.

BACKGROUND AND AIMS: The impact of computer-aided detection (CADe)-assisted colonoscopy on gastroent...

msCNN-PLM-FAD: Enhanced predicting FAD binding sites by using protein language representation combined with multiple separable windows convolutional neural networks.

The FAD binding sites classification problem is crucial because it is directly related to many disea...

LCMS-Net: Deep Learning for Raw High Resolution Mass Spectrometry Data Applied to Forensic Cause-of-Death Screening.

Current preprocessing workflows for untargeted metabolomics using liquid chromatography-high resolut...

Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study.

Current gastric cancer (GCa) risk systems are prone to errors since they evaluate a visual estimatio...

From manual parametric to artificial intelligence-based automation: A systematic review of recent advances in endoscopic surgical skills evaluation.

Evaluating surgical skills is critical to surgical training. Numerous methods and scoring scales hav...