Latest AI and machine learning research in gastroenterology for healthcare professionals.
Randomized controlled trials estimate average treatment effects, but treatment response heterogeneit...
Deep learning has the potential to improve colonoscopy by enabling 3D reconstruction of the colon, p...
The classification performance of deep neural networks relies strongly on access to large, accuratel...
Liver tumour ablation presents a significant clinical challenge: whilst tumours are clearly visible ...
Digitizing large histopathology archives requires processing millions of scanned whole slide images ...
Early detection of colorectal cancer hinges on real-time, accurate polyp identification and resectio...
Accurate risk stratification of precancerous polyps during routine colonoscopy screenings is essenti...
Background: Gastrointestinal stromal tumor (GIST) is the most common gastrointestinal mesenchymal tu...
Oral microemulsions are one drug delivery system often implemented to improve intestinal permeabilit...
Background and Aims: Artificial intelligence (AI) is increasingly applied to histological assessment...
The use of Electronic Health Records (EHRs) has increased significantly in recent years. However, a ...
Endoscopic image analysis is vital for colorectal cancer screening, yet real-world conditions often ...
Imitation learning has achieved remarkable success in robotic manipulation, yet its application to s...
Pancreatic ductal adenocarcinoma (PDAC), one of the deadliest solid malignancies, is often detected ...
Foundation models trained on patient electronic health records (EHRs) hold promise for transforming ...
Accurate and robust polyp segmentation is essential for early colorectal cancer detection and for co...
Accurate prediction of mutational dependencies to model tumor evolution can improve our understandin...
Endoscopic Retrograde Cholangiopancreatography (ERCP) is a key procedure in the diagnosis and treatm...
Deep learning has substantially advanced medical image segmentation, yet achieving robust generaliza...
Supervised deep learning models often achieve excellent performance within their training distributi...
Identifying unique polyps in colon capsule endoscopy (CCE) images is a critical yet challenging task...