Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Patients with early-stage hepatocellular carcinoma (HCC) generally have good survival ra...
Video endoscopy represents a major advance in the investigation of gastrointestinal diseases. Revi...
Eosinophilic esophagitis (EoE) is a chronic esophageal disorder marked by eosinophil-dominated inf...
Hepatocellular carcinoma (HCC), ranking as the third leading cause of cancer-related mortality wor...
Depth estimation from monocular endoscopic images presents significant challenges due to the compl...
Following recent advancements in computer-aided detection and diagnosis systems for colonoscopy, t...
BACKGROUND AND AIMS: Ulcerative colitis (UC) is a metabolism-related chronic intestinal inflammatory...
BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory ...
Reliable extraction of structured data from radiology reports using Large Language Models (LLMs) r...
Chronic liver disease represents a significant health challenge worldwide and accurate prognostic ...
Accurate prostate cancer diagnosis remains challenging. Even when using MRI, radiologists exhibit ...
Cancer of unknown primary (CUP) constitutes between 2% and 5% of human malignancies and is among the...
BACKGROUND AND AIM: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoim...
Hepatitis C virus infection is a significant global health concern, affecting millions worldwide. Al...
BACKGROUND: The incidence of metabolic dysfunction-associated steatohepatitis (MASH) is increasing a...
Deep learning methods have demonstrated strong performance in objection tasks; however, their abil...
Pathology detection in Wireless Capsule Endoscopy (WCE) using deep learning has been explored in t...
Simultaneous Localization and Mapping (SLAM) is essential for precise surgical interventions and r...
Real-time ego-motion tracking for endoscope is a significant task for efficient navigation and rob...
A crucial step to efficiently integrate Whole Slide Images (WSIs) in computational pathology is as...
Pancreatic NEuroendocrine Tumors (pNETs) are very rare endocrine neoplasms that account for less t...