Gastroenterology

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

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Big Data Analytics in Large Cohorts: Opportunities and Challenges for Research in Hepatology.

Advances in big data analytics, precision medicine, and artificial intelligence are transforming hep...

Enhancing gastroenterology with multimodal learning: the role of large language model chatbots in digestive endoscopy.

INTRODUCTION: Advancements in artificial intelligence (AI) and large language models (LLMs) have the...

Exploring Hidden Dangers: Predicting Mycotoxin-like Toxicity and Mapping Toxicological Networks in Hepatocellular Carcinoma.

Mycotoxins are potent triggers of hepatocellular carcinoma (HCC) due to their intricate interplay wi...

Multiclassification of Colorectal Polyps from Colonoscopy Images Using AI for Early Diagnosis.

Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, em...

New Insights into the Diagnosis and Treatment of Hepatocellular Carcinoma.

Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequen...

Future of image enhanced endoscopy of esophageal adenocarcinoma.

Barrett's esophagus is a premalignant precursor lesion of esophageal adenocarcinoma that affects app...

Pyroptosis drives tumor progression and immune evasion in Hepatocellular Carcinoma: a single-cell and spatial transcriptomic study.

BACKGROUND: Pyroptosis is a form of programmed cell death characterized by inflammasome activation a...

Galar - a large multi-label video capsule endoscopy dataset.

Video capsule endoscopy (VCE) is an important technology with many advantages (non-invasive, represe...

A rapid accurate approach to inferring pedigrees in endogamous populations.

Accurate reconstruction of pedigrees from genetic data remains a challenging problem. Many relations...

A Novel Telomere Maintenance Gene-Related Model for Prognosis Prediction in Gastric Cancer.

Gastric cancer (GC) remains a significant clinical challenge due to its frequent late-stage diagnosi...

Artificial Intelligence in Gastroenterology Education: DeepSeek Passes the Gastroenterology Board Examination and Outperforms Legacy ChatGPT Models.

INTRODUCTION: DeepSeek was evaluated in gastroenterology board examination performance against legac...

Integrating machine learning and molecular docking to decipher the molecular network of aflatoxin b1-induced hepatocellular carcinoma.

OBJECTIVE: This study aims to investigate the molecular mechanisms underlying hepatocellular carcino...

A 3D deep learning model based on MRI for predicting lymphovascular invasion in rectal cancer.

BACKGROUND: The assessment of lymphovascular invasion (LVI) is crucial in the management of rectal c...

Development of a warning model for drug-induced liver injury in the older patients.

INTRODUCTION: Drug-induced liver injury (DILI) is a significant adverse drug reaction, ranging from ...

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