Gastroenterology

Therapeutic horizons in metabolic dysfunction-associated steatohepatitis.

Metabolic dysfunction-associated steatohepatitis (MASH), the progressive inflammatory form of MASLD,...

Natural orifice transluminal endoscopic surgery: history and current development.

Natural orifice transluminal endoscopic surgery (NOTES) represents an innovative advancement in mini...

Taking the Guess Work Out of Endoscopic Polyp Measurement: From Traditional Methods to AI.

Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk pa...

The implementation of computer-aided detection in an initial endoscopy training improves the quality measures of trainees' future colonoscopies: a retrospective cohort study.

INTRODUCTION: The implementation of computer-aided detection (CADe) systems has resulted in a growin...

Establishment of a machine learning-based predictive model with dual-center external validation: investigating the role of robotic surgery in preventing delayed gastric emptying for right-sided colon cancer.

After colorectal surgery, delayed gastric emptying (DGE) is a clinically significant postoperative c...

MRI's evolving role in rectal cancer in the era of personalized medicine.

Recent decades have seen great advances in the diagnosis and management of rectal cancer, and magnet...

Enhanced abdominal multi-organ segmentation with 3D UNet and UNet +  + deep neural networks utilizing the MONAI framework.

Accurate segmentation of organs in the abdomen is a primary requirement for any medical analysis and...

Artificial Intelligence in Gastrointestinal Endoscopy: The Japan Gastroenterological Endoscopy Society Position Statements.

Research and development of artificial intelligence (AI) in the field of gastrointestinal endoscopy ...

Letter to Editor: "Integrating machine learning and molecular docking to decipher the molecular network of aflatoxin B1-induced hepatocellular carcinoma".

Advances in intraoperative imaging technologies for complex biliary disease.

Intraoperative imaging has enhanced the precision of biliary surgery in pediatric patients by improv...

Machine-Learning Prediction of Bleeding After Endoscopic Submucosal Dissection for Early Gastric Cancer: A Multicenter Study.

BACKGROUND: Endoscopic submucosal dissection (ESD) is a minimally invasive treatment for early gastr...

Should We Use Behavioural Predictions in Organ Allocation?

Medical predictions, for example, concerning a patient's likelihood of survival, can be used to effi...

DNA-Mediated Bioinspired MXene Gas Sensor Array with Machine Learning for Noninvasive Cancer Recognition.

Noninvasive odor sensing is important in environmental monitoring and medical diagnosis. The two-dim...

Deep learning predicts onset acceleration of 38 age-associated diseases from blood and body composition biomarkers in the UK Biobank.

A major challenge in multimorbid aging is understanding how diseases co-occur and identifying high-r...

Early prediction of adverse outcomes in liver cirrhosis using a CT-based multimodal deep learning model.

PURPOSE: Early-stage cirrhosis frequently presents without symptoms, making timely identification of...

3D Auto-segmentation of pancreas cancer and surrounding anatomical structures for surgical planning.

BACKGROUND: This multicenter study aimed to develop a deep learning-based autosegmentation model for...

Constructing high-quality enhanced 4D-MRI with personalized modeling for liver cancer radiotherapy.

BACKGROUND: For magnetic resonance imaging (MRI), a short acquisition time and good image quality ar...

A machine learning model integrating clinical-radiomics-deep learning features accurately predicts postoperative recurrence and metastasis of primary gastrointestinal stromal tumors.

OBJECTIVES: Post-surgical prediction of recurrence or metastasis for primary gastrointestinal stroma...

Predictive modeling for early detection of refractory esophageal stricture following esophageal atresia surgery: insight from a machine learning study.

BACKGROUND: Refractory esophageal stricture (RES) presents a challenging complication after esophage...

A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma.

Unraveling the role of perineural invasion in cancer progression across multiple tumor types.

Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of ne...