Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer.

Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological...

Feb 2026 41698886
Small-bowel capsule endoscopy - from clinic to couch: time to go green?

PURPOSE OF REVIEW: Small-bowel capsule endoscopy (SBCE) has transformed small-intestine diagnostics ...

Feb 2026 41691528
Deep learning in lower gastrointestinal cancer detection: Advances in endoscopic, radiologic, and histopathologic diagnostics.

Gastrointestinal (GI) cancers, particularly colorectal cancer, continue to be a major contributor to...

Feb 2026 41695919
Risk prediction for chronic atrophic gastritis using a random forest model: A multicenter study.

BACKGROUND: Chronic atrophic gastritis (CAG) is a significant precancerous condition of gastric canc...

Feb 2026 41695920
Radiomics-based model for predicting neoadjuvant therapy response in esophageal cancer: Limitations and suggestions.

A core challenge in the diagnosis and treatment of esophageal cancer (EC) lies in accurately identif...

Feb 2026 41695930
Application value of multiphase contrast-enhanced computed tomography radiomics in preoperative evaluation of peritoneal metastasis in gastric cancer.

BACKGROUND: Peritoneal metastasis occurs in 10%-45% of gastric cancer patients and significantly imp...

Feb 2026 41695934
Pioneering efficient deep learning architectures for enhanced hepatocellular carcinoma prediction and clinical translation.

BACKGROUND: Hepatocellular carcinoma (HCC) is a major cause of cancer-related mortality worldwide an...

Feb 2026 41695935
Toward Timely Diagnosis of Pancreatic Cancer: Revolutionizing Early Detection Through Genomics, Artificial Intelligence, and Noninvasive Biomarkers.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive cancers, typi...

Feb 2026 41692706
GAST-NET: A multi-modal and multi-task deep learning framework for preoperative prediction of perineural invasion and prognostic risk in gastric cancer.

BACKGROUND: Preoperative imaging prediction of perineural invasion in gastric cancer (GC-PNI) mainly...

Feb 2026 41719850
H-DCA Net: Hierarchical dual-branch coordinate attention framework for multi-scale gastric histopathology diagnosis.

BACKGROUND AND OBJECTIVE: Early and accurate diagnosis of gastric cancer is crucial for improving pa...

Feb 2026 41722294
Peripheral immune landscape in pancreatic ductal adenocarcinoma reveals expansion of effector states with disease progression.

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy often diagnosed late due to th...

Feb 2026 41797929
Real-time intraoperative depth estimation in transsphenoidal surgery using deep learning: A feasibility study.

PURPOSE: Endoscopic endonasal and transcranial approaches are used for the resection of various path...

Feb 2026 41691750
Deep learning for histopathological diagnosis of esophageal squamous cell carcinoma in biopsies: A multicenter analysis.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a major cause of cancer mortality in Asia, ...

Feb 2026 41692642
Development and external validation of a machine learning model for predicting in-hospital mortality in acute liver failure.

BACKGROUND: Acute liver failure (ALF) is a rapidly progressive and life-threatening condition that r...

Feb 2026 41692645
A Machine Learning-Based Prognostic Model for Sepsis-Associated Liver Injury Using Routine Indicators.

OBJECTIVE: Sepsis-associated liver injury (SALI) occurs in approximately 40% of sepsis cases and is ...

Feb 2026 41689832
Kinic index: an artificial intelligence-driven predictive model and multitarget drug discovery framework for hepatocellular carcinoma patients.

Hepatocellular carcinoma (HCC) remains a major global health challenge due to its molecular heteroge...

Feb 2026 41691080
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