Latest AI and machine learning research in gastroenterology for healthcare professionals.
Computer-aided diagnosis (CADx) in colonoscopy aims to improve the accuracy of diagnosing small polyps; however, its integration into clinical practice remains challenging. Human-artificial intelligence (AI) collaboration, which is expected to enhance optical diagnosis, has shown limited success in clinical trials, with studies indicating no significant improvement in human-only performance. Conve...
Upper gastrointestinal (UGI) cancers are often detected late. Risk prediction models could facilitate earlier detection by identifying patients at risk for further investigation. We systematically reviewed evidence on UGI diagnostic risk prediction models. A search of MEDLINE, Embase, and CENTRAL was conducted for studies reporting on the development and/or validation of diagnostic risk prediction...
In histopathology, acquiring subcellular-level three-dimensional (3D) tissue structures efficiently and without damaging the tissues during serial sec...
In hepatology, pattern recognition in laboratory data and clinical characteristics is the hallmark of clinical care. Artificial intelligence (AI) tool...
Inflammatory bowel disease (IBD) refers to a chronic inflammatory condition involving the GI tract that includes Crohn's disease (CD) and ulcerative c...
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with limited treatment options, and early detection remains challenging due to the lack...
BACKGROUND: It is widely acknowledged that dietary habits play a pivotal role in maintaining optimal intestinal health. Fecal incontinence (FI) is a d...
INTRODUCTION: Hepatocellular carcinoma is a highly aggressive and heterogeneous malignancy with limited understanding of its heterogeneity.
Alterations in the gut microbiome affect the development and severity of metabolic dysfunction-associated steatotic liver disease (MASLD) or metabolic...
Early diagnosis and precise treatment of gastrointestinal (GI) diseases are crucial for reducing mortality and improving quality of life. In this cont...
Advances in big data analytics, precision medicine, and artificial intelligence are transforming hepatology, offering new insights into disease mechan...
BACKGROUND AND AIMS: Endoscopic Ultrasound (EUS)-guided needle-based confocal laser endomicroscopy (nCLE) enables real-time microscopic visualization ...
BACKGROUND: As the Chinese population continues to age, the prevalence of gastric ulcers, a common nutrition and diet-related disorder, is rising amon...
INTRODUCTION: Advancements in artificial intelligence (AI) and large language models (LLMs) have the potential to revolutionize digestive endoscopy by...
BACKGROUND: As part of the IBD Character initiative, we examined an inception cohort and investigated mucosal microbiota composition and transcription...
BACKGROUND: The assessment of lymphovascular invasion (LVI) is crucial in the management of rectal cancer; However, accurately evaluating LVI preopera...
OBJECTIVE: This study aims to investigate the molecular mechanisms underlying hepatocellular carcinoma (HCC) induced by Aflatoxin B1 (AFB1).
INTRODUCTION: DeepSeek was evaluated in gastroenterology board examination performance against legacy ChatGPT offline models, which previously showed ...
Gastric cancer (GC) remains a significant clinical challenge due to its frequent late-stage diagnosis and limited treatment stratification. Telomere m...
Accurate reconstruction of pedigrees from genetic data remains a challenging problem. Many relationship categories (e.g. half-sibships versus avuncula...