Latest AI and machine learning research in gastroenterology for healthcare professionals.
Artificial intelligence (AI) is rapidly being applied to medical imaging; however, the evidence base for endoscopic ultrasonography-based AI (EUS-AI) remains limited. We conducted a structured literature search (PubMed, Embase, and the Cochrane Library) for studies on AI for the diagnosis of pancreatic diseases using EUS images. Overall, 1 detection and 17 classifications of pancreatic tumors, 4 c...
BACKGROUND: Diagnosing disseminated intravascular coagulation (DIC) in patients with chronic liver disease is challenging because cirrhosis-related hemostatic abnormalities mimic DIC laboratory features, leading to frequent overdiagnosis using conventional DIC scoring systems. OBJECTIVES: This study aimed to evaluate the performance of existing DIC scores in cirrhotic patients and develop a tailor...
PURPOSE: To evaluate the accuracy of automatic surface tracking registration with a smartphone augmented reality (AR) guidance system for percutaneous...
BACKGROUND AND AIMS: Conventional body composition assessment fails to capture its multidimensional complexity in gastric cancer (GC). This study aime...
Cancer-associated fibroblasts (CAFs) are major stromal components of the tumor microenvironment (TME) and play diverse roles in gastrointestinal (GI) ...
Precise preoperative prediction of surgical complexity in robot-assisted total mesorectal excision (R-TME) is essential for optimizing surgical strate...
OBJECTIVE: Detection of liver nodules in ultrasound (US) is challenging due to the low visibility in the presence of steatotic and cirrhotic livers. A...
Patients with pancreatic cancer have low survival rates, largely because patients are diagnosed at an advanced stage. Current strategies for early det...
Hepatocellular carcinoma (HCC) still occurs in patients with hepatitis C who achieved sustained virologic response (SVR) after direct-acting antiviral...
Obtaining pixel-level expert annotations is expensive and labor-intensive in the medical imaging field, especially for multi-modality imaging data lik...
Systemic therapies for advanced hepatocellular carcinoma (HCC) have expanded considerably with the advent of tyrosine kinase inhibitors, immune checkp...
BACKGROUND: Generally, gastroenterology and digestive endoscopy units commonly face constraints. It may be due to a lack of equipment, poor scheduling...
The liver's contribution to pulmonary arterial hypertension (PAH) pathogenesis remains unclear. We hypothesized that the liver promotes inflammatory i...
BACKGROUND: This study investigated the impact of previous abdominal surgery (PAS) on short-term outcomes in robotic resection for colorectal cancer. ...
OBJECTIVE: Pancreatic cancer (PC) poses a significant threat to patient quality of life. Ferroptosis, a novel form of non-apoptotic cell death, is imp...
BACKGROUND: Esophageal cancer ranks among the most lethal malignancies worldwide, particularly prevalent in the Guangdong-Chaoshan region of China due...
Although major advances have been made in the field of mesoscopic imaging and associated tissue clearing protocols, these applications are greatly cha...
BACKGROUND: Adherence to guideline-based colonoscopy surveillance intervals remains suboptimal. Large language models (LLMs) show promise for automati...
INTRODUCTION: Gastrointestinal (GI) bleeding is a frequent and potentially life-threatening emergency that imposes a substantial healthcare burden wor...