Gastroenterology

MRI-driven multimodal deep learning approach for predicting pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer: A multicenter study.

OBJECTIVES: Achieving a pathological complete response (pCR) following neoadjuvant chemoradiotherapy...

Magnetic resonance imaging-based radiomics of mesorectum for predicting extramural venous invasion in patients with rectal cancer: a bi-centric study.

OBJECTIVES: To develop and validate a magnetic resonance imaging (MRI)-based radiomics model of the ...

Machine learning-based multi-omic analysis identifies CEP55, DLGAP5, and EZH2 as regulated cell death biomarkers linked to immunotherapy resistance in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) often exhibits limited responsiveness to immune checkpoint inhibitors...

Early prediction of bowel necrosis in incarcerated groin hernia using parsimonious machine learning models: a retrospective cohort study.

A Preliminary Study of a Machine Learning Prediction of Poorly Differentiated Hepatocellular Carcinoma Based on a Comprehensive Parameter Analysis Using Dual-Energy Computed Tomography.

OBJECTIVE: To develop and evaluate the performance of a predictive machine learning model for poorly...

HP-DIL: Deep heterogeneity profiling with graph-informed disentangled interaction learning for MRI-based liver fibrosis staging.

Liver fibrosis staging (LFS) informs treatment decisions and prognostic assessment in liver disease....

Deep Learning-Based Contrast-Enhanced Ultrasound for Ki-67 Assessment and Prognosis in Hepatocellular Carcinoma.

Ki-67 is a critical prognostic marker for hepatocellular carcinoma (HCC), yet its clinical assessmen...

AI triage of duodenal biopsies improves workflow.

AIMS: To develop, deploy and evaluate artificial intelligence (AI) for triaging duodenal biopsies wi...

A deep learning-based digital biopsy for predicting early recurrence in gastric cancer.

Early postoperative recurrence is a major cause of treatment failure in patients with locally advanc...

Imaging in the diagnosis and characterization of tennis leg.

Tennis leg is a common cause of acute posteromedial calf pain and encompasses a spectrum of injuries...

Identification and Validation of Transcriptomic Signatures in Inflammatory Bowel Disease with Metabolic Syndrome via Bioinformatics and Machine Learning.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic, nonspecific inflammatory disorder affecti...

Exploration of the roles of SSR2 in hepatocellular carcinogenesis based on single-cell transcriptomics and spatial transcriptomics.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common types of cancer globally. Howev...

A deep learning-driven automated treatment planning framework for cervical cancer patients treated with volumetric modulated arc therapy.

BACKGROUND AND PURPOSE: The rapid and efficient generation of high-quality, dose-consistency volumet...

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment.

BACKGROUND: Accurate prediction of early recurrence (ER) after radical resection remains a critical ...

A Pt/Pd-Decorated SnO2-Based Electronic Nose for High-Precision Breath Analysis in Diagnosing SIBO.

Exhaled human breath contains disease-related biomarkers, enabling non-invasive medical diagnostics....

Interpretable prediction of occult lymph node metastasis in pancreatic ductal adenocarcinoma using a model fusing habitat radiomics and deep learning.

PURPOSE: To evaluate the value of integrating habitat radiomics features and deep learning features ...

Robotic Pancreaticoduodenectomy with Right Lateral Approach to the Superior Mesenteric Artery: Surgical Artificial Intelligence-Based Visualization for Standardized Dissection.

BACKGROUND: Robotic pancreaticoduodenectomy enables precise vascular dissection, but dissection of t...

An Explainable Artificial Intelligence Tool (FibroX) for Detecting Advanced Liver Fibrosis in Type 2 Diabetes: Protocol for a Pilot Crossover Trial.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is highly prevalent in adults w...

Association of surgery with survival in small cell carcinoma of the digestive system: a population-based observational study using machine learning.

Identification of a novel platelet-related prognostic model for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a highly lethal malignancy with high invasiveness and metastasis. ...

Trusted polyp segmentation via multi-scale evidence ensemble in colonoscopy images.

PURPOSE: Accurate and reliable polyp segmentation is essential for early colorectal cancer detection...