Latest AI and machine learning research in gastroenterology for healthcare professionals.
Nasal obstruction (NO), referring to blockage in the nasal cavity, is prevalent, affecting approxima...
In this work, we assess the impact of self-supervised learning (SSL) approaches on the detection of ...
This work introduces EffiSegNet, a novel segmentation framework leveraging transfer learning with a ...
Depth estimation is a crucial task in endoscopy for three-dimensional reconstruction, surgical navig...
In recent years, long non-coding RNAs (lncRNAs) have emerged as potential regulators of biological p...
Colorectal cancer is the most common malignant tumor of digestive tract, and the incidence of colore...
Splicing factors (SFs) are the major RNA-binding proteins (RBPs) and key molecules that regulate the...
OBJECTIVES: To develop an artificial intelligence (AI) tool with automated pancreas segmentation and...
OBJECTIVES: To evaluate the performance of machine learning models in predicting pathological comple...
One of the most effective ways to treat liver cancer is to perform precise liver resection surgery...
OBJECTIVE: To investigate the feasibility of developing a grading diagnostic model for schistosomias...
Automated insulin delivery (AID) is now integral to the clinical practice of type 1 diabetes (T1D)....
Hepatocellular carcinoma (HCC) is a biologically heterogeneous tumor characterized by varying degree...
PURPOSE: Radical surgery, the first-line treatment for patients with hepatocellular cancer (HCC), fa...
To investigate the feasibility and accuracy of computer vision-based artificial intelligence techno...
UNLABELLED: Deep learning may detect biologically important signals embedded in tumor morphologic fe...
Recent studies have extensively used deep learning algorithms to analyze gene expression to predict ...
Biomedical research now commonly integrates diverse data types or views from the same individuals to...
Tumor mutational burden (TMB) is a significant predictive biomarker for selecting patients that may ...
The present letter to the editor is related to the study with the title "Automatic detection of smal...
BACKGROUND: nonalcoholic fatty liver disease (NAFLD) is a common liver disease affecting the global ...