Gastroenterology

Flexible IMU Sensor Array For 3D Colonoscope Shape Reconstruction and AI-Based Loop Detection.

Looping during colonoscopy procedures is a major cause of patient discomfort and increases the risk ...

Gut microbiome and metabolic health: mechanisms and precision interventions.

The gut microbiome is increasingly recognized as a fundamental regulator of metabolic health, shapin...

Multimodal brain imaging-based classification of functional constipation subtypes using machine learning.

Functional constipation (FC) is a common gastrointestinal condition often accompanied by anxiety and...

Colorectal cancer detection using noncontrast CT and deep learning: a multicenter and international cohort study.

BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer deaths, with early screening vital ...

Harnessing machine learning to non-invasively evaluate mucosal healing in children with Crohn's disease.

A novel autoantibody panel as potential diagnostic markers for hepatocellular carcinoma.

AIMS: Hepatocellular carcinoma (HCC) represents a major global health burden. Tumor-associated autoa...

Mucinous vs. non-mucinous pancreatic cysts: diagnostic keys on CT and MRI.

The prevalence of incidentally detected pancreatic cystic lesions has increased substantially with t...

Beta cell microRNAs function as molecular hubs of type 1 diabetes pathogenesis and as biomarkers of diabetes risk.

AIMS/HYPOTHESIS: Clinically actionable biomarkers that accurately reflect the health status of the b...

Interpretable machine learning models based on CMR radiomics for predicting left ventricular diastolic dysfunction in patients with metabolic-associated steatotic liver disease and type 2 diabetes mellitus.

BACKGROUND: Obesity-induced left ventricular diastolic dysfunction (LVDD), associated with ectopic f...

Understanding Perceived Forehead Changes Post-Endoscopic Brow Lift: The Impact of Frontalis Muscle Contraction.

BACKGROUND: Endoscopic brow lift surgery is increasingly performed, yet there are concerns about pot...

APSevLM: Acute Pancreatitis Severity Language Model.

Approximately one-fifth of patients with acute pancreatitis (AP) develop severe forms, which are ass...

[Prevention in Gastroenterology].

Gastroenterology offers a broad, evidence-based range of preventive measures that goes beyond colore...

Online adaptive radiotherapy: Clinical utility, challenges and perspectives.

Online adaptive radiotherapy (oART) represents a major evolution in radiation oncology, enabling dai...

Development and validation of an ensemble machine learning model to predict survival in locally advanced rectal cancer: A multicenter, retrospective study.

BACKGROUND: Patients identified with locally advanced rectal cancer (LARC) demonstrate a varied prog...

Design of a soft robotic endoscope with enhanced bending and AI-based prediction.

Minimally invasive surgery (MIS) increasingly benefits from soft robotic platforms that offer enhanc...

High-precision classification of WCE-based gastrointestinal abnormality using a fusion deep learning approach.

Gastrointestinal abnormalities are widespread worldwide and pose a significant health challenge. How...

Distinct signatures in the human gut and oral microbiomes of gastric cancer.

Microbiome dysbiosis is increasingly recognized as a hallmark of gastric cancer (GC). Here, we analy...

Machine learning models for predicting microvascular invasion in hepatocellular carcinoma with three-dimensional whole-lesion 18F-FDG PET radiomics.

OBJECTIVE: To estimate the performance of machine learning models based on preoperative three-dimens...

A Transformer-ResNet-Integrated Deep Learning Model for Digital Pathology-Based Grading and Risk Stratification of MASLD-Related Liver Fibrosis.

INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) affects up to 30% of ...

Optimal treatment selection for hepatocellular carcinoma in the era of immunotherapy.

Immunotherapy has revolutionized hepatocellular carcinoma (HCC) management, necessitating personaliz...

Advancing precision medicine in pancreatic cancer using novel biomarkers and clinical targets.

Precision-guided therapy is imperative in the battle against pancreatic ductal adenocarcinoma (PDAC)...