Gastroenterology

Pancreatic Diseases

Latest AI and machine learning research in pancreatic diseases for healthcare professionals.

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Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients.

INTRODUCTION: Pancreaticoduodenectomy (PD) for patients with pancreatic ductal adenocarcinoma (PDAC)...

Artificial intelligence in pancreaticobiliary endoscopy: Current applications and future directions.

Pancreaticobiliary endoscopy is an essential tool for diagnosing and treating pancreaticobiliary dis...

Recent Advances and Future Directions in Sonodynamic Therapy for Cancer Treatment.

Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...

Effectiveness of Machine Learning-Based Adjustments to an eHealth Intervention Targeting Mild Alcohol Use.

INTRODUCTION: This study aimed to evaluate effects of three machine learning based adjustments made ...

Indole 3-acetate and response to therapy in borderline resectable or locally advanced pancreatic cancer.

BACKGROUND/AIMS: It was recently reported that a higher concentration of the bacterially produced me...

Assessment of body composition and prediction of infectious pancreatic necrosis via non-contrast CT radiomics and deep learning.

AIM: The current study aims to delineate subcutaneous adipose tissue (SAT), visceral adipose tissue ...

Assessing Large Language Models for Oncology Data Inference From Radiology Reports.

PURPOSE: We examined the effectiveness of proprietary and open large language models (LLMs) in detec...

Explainable machine learning identifies a polygenic risk score as a key predictor of pancreatic cancer risk in the UK Biobank.

BACKGROUND: Predicting the risk of developing pancreatic ductal adenocarcinoma (PDAC) is of paramoun...

ChatGPT vs. surgeons on pancreatic cancer queries: accuracy & empathy evaluated by patients and experts.

BACKGROUND: Artificial intelligence (AI) offers potential support in patient-clinician interactions,...

Machine learning based on alcohol drinking-gut microbiota-liver axis in predicting the occurrence of early-stage hepatocellular carcinoma.

BACKGROUND: Alcohol drinking and gut microbiota are related to hepatocellular carcinoma (HCC), but t...

Correlating enzymatic reactivity for different substrates using transferable data-driven collective variables.

Machine learning (ML) is transforming the investigation of complex biological processes. In enzymati...

Antigen-independent single-cell circulating tumor cell detection using deep-learning-assisted biolasers.

Circulating tumor cells (CTCs) in the bloodstream are important biomarkers for clinical prognosis of...

The potential of AI-assisted gastrectomy with dual highlighting of pancreas and connective tissue.

BACKGROUND: Standard gastrectomy with D2 lymph node (LN) dissection for gastric cancer involves peri...

Advancing frontline early pancreatic cancer detection using within-class feature extraction in FTIR spectroscopy.

This study introduces a novel approach for the early detection of pancreatic cancer through biofluid...

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