Latest AI and machine learning research in gastroenterology for healthcare professionals.
Resistance to chemotherapy of pancreatic ductal adenocarcinoma (PDAC) is largely driven by intratumo...
Gastric cancer (GC) is a disease with high mortality rates and remains a central focus in medical re...
Ultrasound microvascular imaging (UMI) is often hindered by low signal-to-noise ratio (SNR), espec...
Ensuring the high quality of colonoscopies in colorectal cancer (CRC) screening is essential to redu...
BACKGROUND: Drug-induced liver injury (DILI) is a complex liver pathology modulated by multiple fact...
Focal liver lesions (FLL) are common clinical findings during physical examination. Early diagnosi...
Gastrointestinal malignancies constitute a leading cause of cancer-related mortality worldwide, wi...
Automated polyp counting in colonoscopy is a crucial step toward automated procedure reporting and...
Objective: Clinical implementation of deformable image registration (DIR) requires voxel-based spa...
Polyp segmentation in colonoscopy images is crucial for early detection and diagnosis of colorecta...
UNLABELLED: Accurate preoperative assessment of lymph node metastasis (LNM) and overall survival (OS...
Liver landmarks provide crucial anatomical guidance to the surgeon during laparoscopic liver surge...
Since the discovery of the life-saving hormone insulin in 1921 by Dr. Frederick Banting in 1921, the...
OBJECTIVE: Endoscopic endonasal transsphenoidal surgery (EETS) is a minimally invasive procedure tha...
CONTEXT.—: Seegene Medical Foundation, one of the major clinical laboratories in South Korea, develo...
Background: Postoperative gastrointestinal (GI) dysfunction is a common complication following criti...
OBJECTIVES: Current study aimed to investigate radiomics features derived from 2-centre diffusion-MR...
BACKGROUND: Steatotic liver disease (SLD) is the most common liver disease worldwide, affecting 30% ...
Machine learning identifies liver fat fraction (FF) measured by H MR spectroscopy, insulinemia, and ...
The spatial structure of various cell types in the tumour microenvironment (TME) can provide valuabl...
BACKGROUND AND AIMS: To develop a deep learning model based on high-frequency ultrasound images to c...