Latest AI and machine learning research in gastroenterology for healthcare professionals.
Early detection of focal liver lesions (FLLs) is crucial for clinical practice, but ultrasound perfo...
BACKGROUND: Inflammatory bowel disease (IBD) shows divergent epidemiological trends in China and the...
Liver transplantation is the definitive treatment for end-stage liver disease; however, postoperativ...
OBJECTIVES: Achieving a pathological complete response (pCR) following neoadjuvant chemoradiotherapy...
OBJECTIVES: To develop and validate a magnetic resonance imaging (MRI)-based radiomics model of the ...
Hepatocellular carcinoma (HCC) often exhibits limited responsiveness to immune checkpoint inhibitors...
OBJECTIVE: To develop and evaluate the performance of a predictive machine learning model for poorly...
Liver fibrosis staging (LFS) informs treatment decisions and prognostic assessment in liver disease....
Ki-67 is a critical prognostic marker for hepatocellular carcinoma (HCC), yet its clinical assessmen...
AIMS: To develop, deploy and evaluate artificial intelligence (AI) for triaging duodenal biopsies wi...
Early postoperative recurrence is a major cause of treatment failure in patients with locally advanc...
Tennis leg is a common cause of acute posteromedial calf pain and encompasses a spectrum of injuries...
Pancreatic cancer (PC) remains one of the deadliest malignancies, largely because of its asymptomati...
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic, nonspecific inflammatory disorder affecti...
BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common types of cancer globally. Howev...
The therapeutic gain ratio (TGR) of radiotherapy for hepatocellular carcinoma (HCC) remains limited ...
BACKGROUND: Identifying reasons for missed preventive care, such as follow-up colonoscopy after an a...
OBJECTIVE: The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) contin...
BACKGROUND: Accurate prediction of early recurrence (ER) after radical resection remains a critical ...
PURPOSE: To evaluate the value of integrating habitat radiomics features and deep learning features ...
BACKGROUND: Robotic pancreaticoduodenectomy enables precise vascular dissection, but dissection of t...