Latest AI and machine learning research in gastroenterology for healthcare professionals.
Artificial intelligence may improve value in colonoscopy-based colorectal screening and surveillance...
BACKGROUND: Red ginseng (RG) extract, especially ginsenoside Rg1 and Rb1 fractions has been reported...
Segmentation of normal organs is a critical and time-consuming process in radiotherapy. Auto-segment...
PURPOSE: Previous robot-assisted total colectomy/total proctocolectomy (TC/TPC) has been mostly conf...
OBJECTIVES: To compare the diagnostic accuracy of texture analysis (TA)-derived parameters combined ...
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and ...
OBJECTIVES: The prognosis for pharyngeal cancer is relatively poor. It is usually diagnosed in an ad...
Convolutional neural networks (CNNs), a popular type of deep neural network, have been actively appl...
BACKGROUND: Data on the association of ustekinumab (UST) drug concentrations and clinical outcomes a...
Gene expression analysis plays a significant role for providing molecular insights in cancer. Variou...
High-quality annotations for medical images are always costly and scarce. Many applications of deep ...
BACKGROUND: In recent years, deep learning has gained remarkable attention in medical image analysis...
Although laparoscopic urachal excision in children has been well reported, there are limited data o...
Drug-induced liver injury (DILI) remains one of the challenges in the safety profile of both authori...
Drug-disease association is an important piece of information which participates in all stages of dr...
BACKGROUND: Size, ulcer, differentiation, and location are known to be factors affecting the T stage...
OBJECTIVE: Herein, a neural network-based liver segmentation algorithm is proposed, and its performa...
The aryl hydrocarbon receptor (AhR) is a ligand-dependent transcription factor that senses environme...
BACKGROUND: This study aimed to develop prognostic models for predicting 28- and 90-day mortality ra...
Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently and...
The retention of a capsule endoscope (CE) in the stomach and the duodenal bulb during the examinatio...