Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND & AIMS: Acute-on-chronic liver failure is a syndrome characterized by organ failure and h...
Two experiments evaluated the effects of an injectable trace mineral (ITM) solution at weaning on tr...
PURPOSE: To evaluate the diagnostic ability and methodological quality of ML models in detecting Pan...
BACKGROUND AND AIMS: Hepatocellular carcinoma (HCC) exhibits a propensity for early recurrence follo...
BACKGROUND: is a significant contributor to a range of gastrointestinal conditions, with convention...
BACKGROUND: Approximately 103 million people across the globe suffer from symptomatic lumbar spinal ...
The increasing focus of small extracellular vesicles (sEVs) in liquid biopsy has created a significa...
The utilization of artificial intelligence (AI) in gastrointestinal (GI) endoscopy has witnessed sig...
ETHNOPHARMACOLOGICAL RELEVANCE: In Moroccan traditional medicine, plants from the Apiaceae family ar...
spp. and hepatitis E virus (HEV) are significant foodborne zoonotic pathogens that impact the healt...
INTRODUCTION: Lactic acid bacteria are prized for their probiotic benefits and gut health improvemen...
BACKGROUND: High-quality bowel preparation is paramount for a successful colonoscopy. This study aim...
CD4 T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestr...
BACKGROUND: Hepato-Pancreato-Biliary (HPB) surgery is a complex specialty and Artificial Intelligenc...
OBJECTIVE: To develop and compare machine learning models based on CT morphology features, serum bio...
Over the past few decades, machine learning and deep learning (DL) have incredibly influenced a broa...
PURPOSE: Chemotherapy dose-limiting toxicities (DLT) pose a significant challenge in successful colo...
BACKGROUND & AIMS: Various hepatocellular carcinoma (HCC) prediction models have been proposed for p...
OBJECTIVE: We sought to develop a machine learning (ML) preoperative model to predict bile leak foll...
OBJECTIVES: To explore texture analysis' ability on T and T relaxation maps to classify liver fibros...
BACKGROUND: Liver injury from drug-drug interactions (DDIs), notably with anti-tuberculosis drugs su...