Latest AI and machine learning research in gastroenterology for healthcare professionals.
The cross-sectional area (CSA) of the gastric antrum and its motility rhythm reflects the gastrointe...
Background This investigation delves into the potential application of data-driven survival modeling...
Identifying cell types and states remains a time-consuming, error-prone challenge for spatial biolog...
Cancer remains the second leading cause of death worldwide, representing a substantial challenge to ...
Cancer continues to be among the most substantial health challenges globally. Among various natural ...
BACKGROUND AND OBJECTIVE: In search of a key driver for the invasive growth of cancer metastasis, AK...
BACKGROUND: Recent years have witnessed a proliferation of studies aimed at developing clinical mode...
Dysbiosis refers to the disruption of the gut microbiota balance and is the pathological basis of va...
Hepatocellular carcinoma (HCC) is a major complication of tyrosinemia type 1 (HT-1), an inborn error...
BACKGROUND: Systemic inflammatory response syndrome (SIRS) is a frequent and serious complication of...
OBJECTIVE: To evaluate the feasibility of generative pre-trained transformer-4 (GPT-4) in generating...
Protein misfolding diseases, including α1-antitrypsin deficiency (AATD), pose substantial health cha...
The accurate preclinical prediction of adverse drug reactions (ADRs), such as nausea and vomiting, r...
The importance of gastric cancer (GC) and the role of deep learning techniques in categorizing GC hi...
The American College of Radiology (ACR) Incidental Findings Committee (IFC) algorithm provides guid...
BACKGROUND: We developed and evaluated a skeletal muscle deep-learning (SMDL) model using skeletal m...
BACKGROUND: Accurate diagnosis of ESD specimens is crucial for managing early gastric cancer. Identi...
Radiographic imaging is a non-invasive technique of considerable importance for evaluating tumor tre...
PURPOSE: Fluorescence imaging is critical for intraoperative intestinal perfusion assessment in colo...
Efficient segmentation of small hyperreflective dots, key biomarkers for diseases like macular edema...
The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predic...