Latest AI and machine learning research in gastroenterology for healthcare professionals.
Histological assessment is foundational to multi-omics studies of liver disease, yet conventional fibrosis staging lacks resolution, and quantitative metrics like collagen proportionate area (CPA) fail to capture tissue architecture. While recent AI-driven approaches offer improved precision, they are proprietary and not accessible to academic research. Here, we present a novel, interpretable AI-b...
BACKGROUND: Accurate assessment of Submucosal (SM) invasion in gastric neoplasms is vital for curative endoscopic management, yet conventional endoscopy remains moderately accurate and operator dependent. Whether AI can deliver reliable, generalizable depth prediction is unknown. AIM: This investigation establishes the diagnostic capability of AI-driven endoscopic systems for identifying SM invasi...
The rising global prevalence of diabetes mellitus and its liver complications presents a significant public health challenge. Inflammation-driven cros...
BACKGROUND: This is an updated component network meta-analysis to evaluate efficacy and safety of various therapeutic approaches and their combination...
BACKGROUND: Robust forecasting of hepatitis B trends is important for long-term surveillance and public health planning in China. However, evidence re...
Esophageal cancer (EC) is a gastrointestinal malignancy associated with a poor prognosis worldwide. It is characterized by an insidious onset, marked ...
Post-hepatectomy liver failure (PHLF) remains a major cause of morbidity and mortality after major hepatectomy, and volumetric assessment based on fut...
Robotic liver surgery (RLS) is expanding in recent years. Complication prediction is crucial for postoperative outcomes. Traditional MIS scores are po...
Esophageal reconstruction is one of the most challenging procedures in gastrointestinal surgery. While conventional therapeutic approaches, such as ga...
PURPOSE: Risk stratification for advanced colorectal polyps typically relies on colonoscopy and/or pathology findings. However, there is growing inter...
The Gastrointestinal (GI) tract plays a vital role in digestion by breaking down food into essential nutrients. Disorders such as bleeding lesions, ul...
BACKGROUND: Accurate tumor segmentation is essential for early diagnosis, treatment planning, and prognostic evaluation. Although manual annotation ca...
PURPOSE OF REVIEW: Children with hereditary polyposis syndromes require long-term endoscopic surveillance to reduce risks of gastrointestinal complica...
OBJECTIVE: Accurate pre-endoscopic risk stratification is essential in acute upper gastrointestinal bleeding (UGIB). Established scores predict mortal...
INTRODUCTION: The mortality risk factors in intensive care unit (ICU) patients with liver necrosis (LN) remain unclear. This study aimed to develop a ...
UNLABELLED: Coproparasitological stool analysis based on microscopic examination is the reference diagnostic technique routinely performed in clinical...
Objective.To develop a deep learning framework for the efficient and accurate quantification of hepatic steatosis in whole-slide images (WSIs).Approac...
Drug-induced liver injury (DILI) is a leading cause of drug failure and post-market withdrawals. Traditional preclinical methods fail to detect up to ...
As of now, current studies have confirmed that circadian rhythm genes (CRGs) can modulate the onset and development of metabolic dysfunction-associate...
Gastric cancer (GC) ranks as the third leading cause of cancer-related mortality globally. A comprehensive and precise proteomic study of GC tissues c...