Latest AI and machine learning research in gastroenterology for healthcare professionals.
The interaction between T cell receptors (TCRs), peptides, and human leukocyte antigens (HLAs) under...
In this study, we proposed a deep Swin-Vision Transformer-based transfer learning architecture for r...
Cell state diversity drives tissue adaptability, repair, and disease resilience, but fully capturing...
Diffusion models have achieved remarkable progress in video generation, but their controllability re...
Accurate segmentation of the future liver remnant (FLR) is critical for surgical planning in colorec...
Gastrointestinal diseases impose a growing global health burden, and endoscopy is a primary tool for...
Deep learning models utilizing longitudinal healthcare data have significantly advanced epidemiologi...
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide, yet existing progno...
Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...
Background: Previous recommendations on screening for prostate cancer relied on ongoing trials of sc...
Human diseases and adverse drug reactions are ultimately recognized through clinical symptoms, yet t...
Based on single-cell RNA sequencing data, differentially expressed genes (LMR DEGs) between colorect...
Endoscopic video analysis is essential for early gastrointestinal screening but remains hindered by ...
Minimally invasive and robot-assisted surgery relies heavily on endoscopic imaging, yet surgical smo...
Early screening via colonoscopy is critical for colon cancer prevention, yet developing robust AI sy...
Deep learning and generative models are advancing rapidly, with synthetic data increasingly being in...
Gastrointestinal (GI) tract image analysis plays a crucial role in medical diagnosis. This research ...
Cancer data standardization requires converting unstructured pathology reports into structured regis...
In endoscopic surgery, surgeons continuously locate the endoscopic view relative to the anatomy by i...
Contrast-enhanced magnetic resonance imaging (CE-MRI) plays a crucial role in brain tumor assessment...
Recent vision-language models (VLMs) have shown strong generalization and multimodal reasoning abili...