Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
Objectives To describe the design, operational safeguards, and early use of ChatIBD, a specialty-spe...
Abstract Objective: Structured extraction from clinical free-text depends on human annotators whose ...
Biomedical knowledge graphs have emerged as foundational infrastructure for AI-driven drug discovery...
Background: Emerging evidence suggests that the oral microbiome may contribute to aberrant gut immun...
Controllable medical video generation has achieved remarkable progress, but it still lacks interpret...
Background: Current medical large language model (LLM) evaluations largely rely on small collections...
Early identification and removal of polyps can reduce the risk of developing colorectal cancer. Howe...
Computed tomography (CT) enterography is a primary imaging modality for assessing inflammatory bowel...
The interaction between T cell receptors (TCRs), peptides, and human leukocyte antigens (HLAs) under...
Early screening via colonoscopy is critical for colon cancer prevention, yet developing robust AI sy...
The Brain Tumor Reporting and Data System (BT-RADS) standardizes post-treatment MRI response assessm...
Accurate monocular depth estimation is critical in colonoscopy for lesion localization and navigatio...
Objective Cognitive behavioral therapy (CBT) is an effective first-line treatment for obsessive-comp...
Background: Pleuroparenchymal fibroelastosis (PPFE) is an upper lobe predominant fibrotic lung abnor...
Drug-induced liver injury (DILI) is an acute inflammatory liver disease caused not only by prescript...
Accurate polyp segmentation from colonoscopy images is critical for colorectal cancer prevention, ye...
Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during ...
The human gut microbiome is increasingly explored as a diagnostic indicator for disease, yet machine...
The gut microbiome regulates many aspects of human biology, including immunity and inflammatory dise...
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...