Artificial Intelligence | Gastroenterology | Medical Imaging Diagnostic usefulness of deep learning methods for infection using esophagogastroduodenoscopy images. January 1, 2024
Gastroenterology | Hepatology Heterogeneity in intrahepatic macrophage populations and druggable target expression in patients with steatotic liver disease-related fibrosis. January 1, 2024
Gastroenterology | Oncology | Radiology The Utility of Artificial Intelligence in the Diagnosis and Management of Pancreatic Cancer. December 29, 2023
Gastroenterology | Microbiology | Oncology Characterization of Wnt signaling pathway under treatment of Lactobacillus acidophilus postbiotic in colorectal cancer using an integrated in silico and in vitro analysis. December 27, 2023
Gastroenterology | Oncology Application of artificial intelligence in endoscopic gastrointestinal tumors. December 25, 2023
Artificial Intelligence | Gastroenterology Application of deep learning in the diagnosis and evaluation of ulcerative colitis disease severity. December 25, 2023
Gastroenterology | Oncology | Pathology | Radiology A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features. December 23, 2023
Gastroenterology | Oncology Extended Analysis of Raman Spectra Using Artificial Intelligence Techniques for Colorectal Abnormality Classification. December 22, 2023
Gastroenterology | Healthcare Sustainability Smart Endoscopy Is Greener Endoscopy: Leveraging Artificial Intelligence and Blockchain Technologies to Drive Sustainability in Digestive Health Care. December 22, 2023
Gastroenterology | Oncology Deep Learning and Gastric Cancer: Systematic Review of AI-Assisted Endoscopy. December 22, 2023
Gastroenterology | Oncology | Radiology Predicting tumor deposits in rectal cancer: a combined deep learning model using T2-MR imaging and clinical features. December 20, 2023
Gastroenterology | Microbiology The impact of gut microbiome enterotypes on ulcerative colitis: identifying key bacterial species and revealing species co-occurrence networks using machine learning. December 20, 2023