Latest AI and machine learning research in gastroenterology for healthcare professionals.
Artificial intelligence (AI) offers a promising solution to the long-standing challenge of accurately predicting treatment response in rectal cancer. In this narrative review, we summarize current AI-driven approaches to predicting pathologic complete response in rectal cancer. We also outline key barriers to clinical translation, including lack of standardization, small and geographically skewed ...
OBJECTIVE: Traditional survival prediction models use a patient's covariates at a single time point to estimate the time until a specific event occurs, such as death or hospital readmission. However, in many longitudinal datasets, patient covariates are recorded at multiple time points, typically with varying intervals. Our objective is to learn a survival prediction model by training on longitudi...
INTRODUCTION: The third most prevalent form of cancer, colorectal cancer (CRC), is associated with a high mortality rate due to colorectal liver metas...
RATIONALE AND OBJECTIVES: Accurate staging of hepatic fibrosis is essential for guiding immunosuppressive and antifibrotic therapies. However, percuta...
BACKGROUND: We aimed to build a serum proteomics-based model to predict primary nonresponse (PNR) to infliximab (IFX) in pediatric colonic inflammator...
PURPOSE: Predictive biomarkers to guide selection of first-line chemotherapy for advanced pancreatic ductal adenocarcinoma (PDAC) are an unmet clinica...
The global rise in steatotic liver disease poses a significant public health challenge. While non-contrast computed tomography scans hold promise for ...
An accurate prediction of the time since death, known as the post-mortem interval, remains a critical research question in forensic and police investi...
BACKGROUND: Postoperative pancreatic fistula (POPF) is the major driver of postoperative morbidity after pancreatoduodenectomy (PD) and a healthcare i...
This study aimed to identify differences in patient background and symptoms between individuals who tested positive using conventional rapid antigen (...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) often coexists with chronic hepatitis B (CHB), yet early diagnosis remain...
BACKGROUND AND AIMS: EGD remains the primary diagnostic modality for evaluating lesions of the upper gastrointestinal (UGI) tract. This meta-analysis ...
BACKGROUND: Large language models (LLM) can pass medical licensing and specialty board exams, but their ability to generate high-quality board-style e...
BACKGROUND & AIMS: In hepatocellular carcinoma (HCC) with cirrhosis, portal hypertension worsens outcomes. Esophagogastroduodenoscopy (EGD), the curre...
BACKGROUND: Mitochondrial dysfunction contributes to the pathogenesis of multiple diseases. This study explores the involvement of mitochondrial dysfu...
Amid rapid urbanization and the degradation of natural landscapes, urban blue-green spaces (BGSs) have garnered increasing attention for their role in...
BACKGROUND: The American College of Gastroenterology (ACG) assembled a multidisciplinary task force to evaluate the current state and future direction...
Intestinal parasitic infections (IPIs) have a worldwide distribution and have a major impact on health, work capacity, and economy in many countries. ...
Multimodal profiling of inflammatory bowel disease (IBD) patient tissue and blood samples has revealed the disease spectrum in unprecedented detail, a...
Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by persistent mucosal inflammation. While fibroblasts contribute to tiss...