Latest AI and machine learning research in gastroenterology for healthcare professionals.
Resistance to systemic therapy is a major unmet challenge in pancreatic cancer. To identify potentia...
Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during ...
Purpose: Monocular depth estimation (MDE) is vital for scene understanding in minimally invasive sur...
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy characterized by profound molecu...
Summary Background Once the treatment starts, early prediction of treatment benefit and its correlat...
The human gut microbiome is increasingly explored as a diagnostic indicator for disease, yet machine...
Hepatotoxicity remains a leading cause of drug attrition and post-marketing withdrawal, resulting fr...
In laparoscopic liver surgery, augmented reality technology enhances intraoperative anatomical guida...
The gut microbiome regulates many aspects of human biology, including immunity and inflammatory dise...
The spatial organization of microbial communities is a critical determinant of host-microbe interact...
Differences in microbiome composition profoundly influence drug response, yet methods to model the m...
The spatial organization of the tumor immune microenvironment (TIME) drives hepatocellular carcinoma...
Video polyp segmentation (VPS) is an important task in computer-aided colonoscopy, as it helps docto...
Colonoscopy video generation delivers dynamic, information-rich data critical for diagnosing intesti...
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, for...
Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] ...
Accurate Couinaud liver segmentation is critical for preoperative surgical planning and tumor locali...
Monocular depth estimation (MDE) for colonoscopy is hampered by the domain gap between simulated and...
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, for...
Hepatocellular Carcinoma diagnosis relies heavily on the interpretation of gigapixel Whole Slide Ima...
This paper tackles the problem of time-to-event counterfactual survival prediction, aiming to optimi...