Gastroenterology

Deep learning classification of nasal anatomical variants on computed tomography for endoscopic sinus surgery.

Endoscopic sinus surgery (ESS) carries risks such as vision loss and intracranial injury due to the ...

Impact of artificial intelligence intervention on awareness of anatomical landmarks in laparoscopic gastrectomy: An exploratory study.

BACKGROUND: We have developed gastric cancer/gastrectomy artificial intelligence (gAI) that leverage...

Decision tree-based prediction of 5-year weight trajectories after bariatric surgery in adolescents and young adults: a retrospective cohort study from France and Sweden.

BACKGROUND: Metabolic-bariatric surgery is an efficient therapy in selected adolescents with severe ...

Integrated analysis of single-cell and bulk-RNA sequencing data reveals drug therapeutic targets and prognostic biomarkers related to ribosome biogenesis in hepatocellular carcinoma.

BACKGROUND: Ribosome biogenesis is involved in the progression of hepatocellular carcinoma (HCC), bu...

Deep Learning-Based Reconstruction Improves Image Quality in Canine Cranial Abdominal MRI: A Prospective Pilot Study.

The application of deep learning-based reconstruction (DLR) to magnetic resonance imaging (MRI) has ...

Machine-learning prediction of affinity and epistasis in the bovine pancreatic trypsin inhibitor-chymotrypsin complex.

Protein-protein interactions (PPIs) are shaped by evolutionary pressures that fine-tune binding affi...

How Does Artificial Intelligence-Assisted Endoscopy Impact Upper Gastrointestinal Screening?

Deep learning-based dose prediction for MR-guided prostate SIB: Supporting rapid feasibility assessment and adaptive editing margin selection.

BACKGROUND: The template-based treatment planning workflow in the Unity magnetic resonance-guided li...

Multiblock Chemometric and Machine Learning Optimization of Energy-Assisted Extraction From Hawthorn (Crataegus songarica K. Koch) Fruit.

Efficient recovery of phenolic compounds is critical for valorizing Crataegus songarica K. Koch for ...

Multimodal artificial intelligence models for liver fibrosis staging: a scoping review.

Multimodal artificial intelligence (AI) approaches integrating heterogeneous data sources represent ...

Integrative Genomic and Clinical Profiling of Colorectal Cancer Liver Metastases to Guide Personalized Surgery and Liver Transplantation.

BACKGROUND/AIM: Colorectal cancer liver metastases (CRLM) remain a leading cause of cancer-related m...

Effectiveness of CADe in Colonoscopy for Improved Adenoma and Polyp Detection Under Diverse Clinical Conditions.

BACKGROUND/AIM: Colonoscopy is the gold standard for colorectal cancer prevention, but its effective...

Air pollution and hepatocellular carcinoma: Integrated network toxicology, machine learning, molecular docking and multiomics analysis.

Air pollution is closely related to the incidence and prognosis of hepatocellular carcinoma (HCC); h...

Detecting Adverse Events Following Acute Care Encounters among Veterans Prescribed Non-Steroidal Anti-Inflammatory Drugs.

OBJECTIVES: To model the occurrence of adverse events (AEs) among Veterans prescribed nonsteroidal a...

Automatic Phase and Sequence Identification in Gd-EOB-DTPA-Enhanced Liver MRI Using Deep Convolutional and Sequential Learning.

The purpose of this study is to develop and validate a deep learning model for automatic identificat...

In vitro development of the Autonomous Colonoscope Robot System (ACRS) for fully automated colonoscope insertion.

BACKGROUND: In the field of colonoscopy, robotic systems have been developed to support or replace h...

Retinal Vascular Features and Risk of Colorectal Cancer Incidence and Mortality: A Population-Based Cohort Study.

INTRODUCTION: Colorectal cancer (CRC) screening remains limited by invasiveness and suboptimal sensi...

Emerging Role of AI in Gastroenterology and Hepatology: Revolutionizing Medical Device-Assisted Diagnosis.

Recent advancements in AI have emerged in the diagnosis of different diseases by enhancing the analy...

Multi-omics Signature Predicts Anti-EGFR Therapy Benefit in Colorectal Cancer Liver Metastases: A Multi-center Cohort Study.

INTRODUCTION: Clinical management of RAS wild-type colorectal cancer liver metastases (CRLM) remains...

APEX-NET: automated pancreatic evaluation network using early non-contrast CT.

OBJECTIVES: To develop and validate APEX-NET for early diagnosis and severity stratification of acut...

Deep learning and machine learning in image-based hepatocellular carcinoma detection: a systematic review and meta-analysis.

BACKGROUND: Early detection and management are essential in hepatocellular carcinoma (HCC) care. Art...