Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Pancreatic adenocarcinomas (PAADs) often exhibit a "cold" or immunosuppressive tumor mil...
This study aimed to establish and validate the efficacy of a nomogram model, synthesized through the...
The objective of this study was to develop and evaluate a model for predicting post-treatment surviv...
This study aimed to compare the image quality and detection performance of pancreatic cystic lesions...
PURPOSE: Irritable bowel syndrome (IBS) is a diagnosis defined by gastrointestinal (GI) symptoms lik...
Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops ...
INTRODUCTION AND OBJECTIVES: The increasing incidence of hepatocellular carcinoma (HCC) in China is ...
Artificial intelligence (AI) has the potential to aid in the diagnosis and management of alcohol-ass...
The increasing availability of biomedical data creates valuable resources for developing new deep le...
BACKGROUND: Increased polyp detection during colonoscopy is associated with decreased post-colonosco...
BACKGROUND: Postoperative liver metastasis significantly impacts the prognosis of pancreatic neuroen...
To evaluate the usefulness of low-keV multiphasic computed tomography (CT) with deep learning image ...
BACKGROUND AND AIMS: A robust model of post-ERCP pancreatitis (PEP) risk is not currently available....
PURPOSE: Nonalcoholic steatohepatitis (NASH) has been an increasingly significant contributor to hep...
BACKGROUND: Currently, there is no automated method for assessing cleanliness in video capsule endos...
INTRODUCTION AND OBJECTIVES: Autoimmune liver diseases (AILDs) are rare and require precise evaluati...
Standardized assessment of the gastroesophageal valve during endoscopy, attainable via the Hill clas...
Early identification of pancreatitis remains a significant clinical diagnostic challenge that impact...
Pre-training deep learning models with large data sets of natural images, such as ImageNet, has beco...
PURPOSEÂ OF REVIEW: In this review, we aim to summarize the existing literature and future directions...
BACKGROUND: Large Language Models (LLMs) provide clinical guidance with inconsistent accuracy due to...