Gastroenterology

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

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Evaluating the efficacy of using large language models in preoperative prediction of microvascular invasion in HCC: a multicenter study.

Primary liver cancer is the sixth most commonly diagnosed cancer globally and the third leading caus...

Comparing non-machine learning vs. machine learning methods for Ki67 scoring in gastrointestinal neuroendocrine tumors.

The Ki67 score is a crucial prognostic biomarker for neuroendocrine tumors, but its manual assessmen...

Radiomics with Machine Learning Improves the Prediction of Microscopic Peritumoral Small Cancer Foci and Early Recurrence in Hepatocellular Carcinoma.

RATIONALE AND OBJECTIVES: This study aimed to develop an interpretable machine learning model using ...

CVT-HNet: a fusion model for recognizing perianal fistulizing Crohn's disease based on CNN and ViT.

BACKGROUND: Accurate identification of anal fistulas is essential, as it directly impacts the severi...

Detecting and classifying the mechanics of cancer and non-cancer cells by machine learning algorithm.

The global burden of cancer has increased in recent years, posing a major public health challenge. G...

Artificial intelligence-driven pathomics in hepatocellular carcinoma: current developments, challenges and perspectives.

Hepatocellular carcinoma (HCC) is a highly malignant tumor with elevated incidence and mortality rat...

From promise to practice: a scoping review of AI applications in abdominal radiology.

AI is rapidly transforming abdominal radiology. This scoping review mapped current applications acro...

Can a Rule-Based Expert System Diagnose Nasal Obstruction from Nasoendoscopy Videos?

Nasal obstruction has multiple causes requiring specialist endoscopy for diagnosis. A rule-based exp...

Machine Learning-Driven SERS Analysis Platform for Accurate and Rapid Diagnosis of Peritoneal Metastasis from Gastric Cancer.

BACKGROUND: Peritoneal metastasis (PM) is the most common form of distant metastasis in gastric canc...

AI-driven preclinical disease risk assessment using imaging in UK biobank.

Identifying disease risk and detecting disease before clinical symptoms appear are essential for ear...

Quantification of hepatic steatosis on post-contrast computed tomography scans using artificial intelligence tools.

PURPOSE: Early detection of steatotic liver disease (SLD) is critically important. In clinical pract...

A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.

Various diseases, such as colon cancer, gastric cancer, celiac, and bleeding, pose a significant ris...

Machine learning-based dynamic CEA trajectory and prognosis in gastric cancer.

BACKGROUND: Static carcinoembryonic antigen (CEA) levels are well‑established prognostic markers in ...

Machine learning combine with nomogram to guide the establishment of endoscopic assistant system for gasless transaxillary endoscopic thyroidectomy.

OBJECTIVE: To explore the influence related factors of endoscopic assistant in gasless transaxillary...

Explainable deep learning for stratified medicine in inflammatory bowel disease.

Moving from a one-size-fits-all to an individual approach in precision medicine requires a deeper un...

Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes.

BACKGROUND: Pancreatic cellular heterogeneity is fundamental to systemic metabolic regulation, yet i...

Eye Tracking Analysis to Determine the Endoscopist's Recognition Rate for Artificial Intelligence-Detected Sites in Colonoscopy.

PURPOSE: Computer-aided detection systems (CADe) are used in screening colonoscopy; however, no stud...

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