Latest AI and machine learning research in gastroenterology for healthcare professionals.
Goal-oriented semantic communication has recently emerged in wireless sensor-actuator networks, emph...
In digital pathology, whole-slide images routinely exceed gigapixel resolution, making computational...
Colorectal cancer, inflammatory bowel disease, and diverticular disease are progressive conditions t...
Computational pathology has made significant progress in recent years, fueling advances in both fund...
We developed a multi-label gastrointestinal video analysis pipeline based on a ResNet-50 frame class...
This work presents a multi-label classification framework for video capsule endoscopy (VCE) that add...
Objectives Using qualitative methods, this study aimed to provide a comparative overview of the simi...
Purpose: While bowel sound auscultation represents a key component of abdominal examination, its uti...
Predicting genetic perturbation responses at a single-cell level is central to building models for c...
Accurate monocular depth estimation is critical in colonoscopy for lesion localization and navigatio...
Ulcerative colitis (UC) is a chronic mucosal inflammatory condition that places patients at increase...
Histopathology remains the gold standard for cancer diagnosis because it provides detailed cellular-...
Esophageal cancer (EC) remains one of the most lethal malignancies worldwide, with poor survival out...
Delineating the clinical target volume (CTV) in radiotherapy involves complex margins constrained by...
In interventional radiology, Cone-Beam Computed Tomography (CBCT) is a helpful imaging modality that...
Accurate localization of tumor regions from hematoxylin and eosin-stained whole-slide images is fund...
The liver has a complex architecture composed of millions of lobules. Within these lobules, hepatocy...
Drug-induced liver injury (DILI) is an acute inflammatory liver disease caused not only by prescript...
Background and aims Population screening for liver disease in high-risk groups is recommended. Commu...
Accurate polyp segmentation from colonoscopy images is critical for colorectal cancer prevention, ye...
Spatially resolved omics technologies reveal tissue organization at single-cell resolution but remai...