Latest AI and machine learning research in gastroenterology for healthcare professionals.
Controllable medical video generation has achieved remarkable progress, but it still lacks interpret...
Video Capsule Endoscopy (VCE) is a promising method for improving the medical examination of the sma...
Visual state-space models (SSMs) have shown strong potential for medical image segmentation, yet the...
Video Capsule Endoscopy (VCE) is a promising method for improving the medical examination of the sma...
Visual state-space models (SSMs) have shown strong potential for medical image segmentation, yet the...
Robotic ultrasound has advanced local image-driven control, contact regulation, and view optimizatio...
Global climate change has increased the frequency and severity of stressful temperatures that freshw...
Histologic assessment of ulcerative colitis (UC) activity is an important endpoint in clinical trial...
The human liver depends on multiscale structural organization from vasculature to cells to organelle...
Introduction: Accurate stratification of hard atherosclerotic cardiovascular disease (ASCVD) risk re...
Pancreatic cancer progression is orchestrated by dynamic shifts in immune and stromal cellular ecosy...
Capsule endoscopy (CE) enables non-invasive gastrointestinal screening, but current CE research rema...
Pancreatic tumor segmentation in contrast-enhanced computed tomography (CT) is clinically important ...
Super-resolution (SR) models are attracting growing interest for enhancing minimally invasive surger...
Increasingly advanced data augmentation techniques have greatly aided clinical medical research, inc...
BackgroundPredicting whether a treatment will demonstrate meaningful clinical benefit before committ...
Early identification and removal of polyps can reduce the risk of developing colorectal cancer. Howe...
Computational phantoms are widely used in medical imaging research, yet current systems to generate ...
Computed tomography (CT) enterography is a primary imaging modality for assessing inflammatory bowel...
Background: Current deep learning models in computational pathology, radiology, and digital patholog...
Despite recent advancements in the field of medical image analysis with the use of pretrained founda...