Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
The lack of labeled datasets in 3D vision for surgical scenes inhibits the development of robust 3...
Generalizable medical image segmentation is essential for ensuring consistent performance across d...
Colorectal cancer (CRC) is a significant global health concern, and early detection through screen...
Purpose: Visual 3D scene reconstruction can support colonoscopy navigation. It can help in recogni...
Automated colonoscopy reporting holds great potential for enhancing quality control and improving ...
Venous thromboembolic events (VTE) is a frequent complication in multiple myeloma (MM) patients, rai...
Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing w...
Following recent advancements in computer-aided detection and diagnosis systems for colonoscopy, t...
BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory ...
Deep learning methods have demonstrated strong performance in objection tasks; however, their abil...
Artificial intelligence (AI), with advantages such as automatic feature extraction and high data pr...
Colorectal cancer (CRC) is one of the most commonly diagnosed cancers all over the world. It start...
BACKGROUNDS AND AIMS: The Mayo endoscopic subscore [MES] is the most popular endoscopic disease acti...
BACKGROUND AND AIMS: Achieving histological remission is a desirable emerging treatment target in ul...
BACKGROUND AND AIMS: The long-term treat-to-target (T2T) approach in ulcerative colitis (UC) aims fo...
To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma...
Flagellin is the protein monomer of the bacterial flagellum, which confers motility, allowing bacter...
Atopic dermatitis (AD) is a chronic inflammatory skin disease driven by complex interactions among g...
Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phen...
Existing breast cancer risk models inadequately identify individuals at latent risk, particularly am...
Extracellular vesicles (EVs), including exosomes, are emerging as promising carriers of disease-spec...