Latest AI and machine learning research in gastroenterology for healthcare professionals.
Multimodal learning has been demonstrated to enhance performance across various clinical tasks, ow...
Hepatic vessels in computed tomography scans often suffer from image fragmentation and noise inter...
BACKGROUND: Wireless capsule endoscopy (WCE) has become an important noninvasive and portable tool f...
The growing need for accurate and efficient 3D identification of tumors, particularly in liver seg...
Objective: To develop a novel deep learning framework for the automated segmentation of colonic po...
In image-guided liver surgery, the initial rigid alignment between preoperative and intraoperative...
Informed by the success of the transformer model in various computer vision tasks, we design an en...
In order to seek a patient friendly and low-cost intestinal examination method, a structurally simpl...
Gastric tumors are neoplastic lesions that occur in the stomach, posing a great threat to human heal...
Gastrointestinal (GI) bleeding is a serious medical condition that presents significant diagnostic...
Lung and colon cancers are predominant contributors to cancer mortality. Early and accurate diagno...
Deep learning can predict depth maps and capsule ego-motion from capsule endoscopy videos, aiding ...
Accurate detection and segmentation of gastrointestinal bleeding are critical for diagnosing disea...
Gastrointestinal (GI) bleeding, a critical indicator of digestive system disorders, re quires effi...
Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide, with polyp rem...
Problem: Pancreas radiological imaging is challenging due to the small size, blurred boundaries, a...
Recent medical vision-language models (VLMs) have shown promise in 2D medical image interpretation...
CONTEXT: Pancreatic neuroendocrine tumors (PNETs) exhibit a wide range of behavior from localized di...
CONTEXT: Metabolic dysfunction-associated steatotic liver disease (MASLD) is currently the most comm...
We present a comprehensive evaluation of a2z-1, an artificial intelligence (AI) model designed to ...
The growing importance of real-time simulation in the medical field has exposed the limitations an...