The development of convolutional neural networks has achieved impressive advances of
machine learning in recent years, leading to an increasing use of artificial intelligence (AI) in …

Deep learning (DL) has been successfully applied to different fields for a range of tasks. In
medicine, DL methods have been also used to improve the efficiency of disease diagnosis …

Quality controlling for capsule endoscopic images can be completed with the assistance of
artificial intelligence, but the labeling process is time‐consuming. Domain adaption is a …

METHODS: We analyzed data from 1,366 participants who underwent gastroscopy at
Jiangsu Provincial People's Hospital and Yangzhou First People's Hospital between …

Anatomical sites recognition is a basic requirement for gastroenterologists. But there is not a
unified framework for anatomical sites identification in both ordinary and capsule …

Objective To develop an AI-assisted MRI model to identify surgical target areas in pediatric
hip and periarticular infections. Methods A retrospective study was conducted on the …

Abstract Background and Objectives:-Esophageal malignant growth is probably the
deadliest kind of disease in people. It positions seventh as far as disease and 6th as far as …

Background Artificial intelligence-assisted gastroscopy (AIAG) based on deep learning has
been validated in various scenarios, but there is a lack of studies regarding diagnosing …

Endoscopy is an important tool for detecting and diagnosing digestive diseases. However,
the performance of endoscopists varies, which significantly impacts the health outcomes of …

Accurate prediction of pneumoconiosis is essential for individualized early prevention and
treatment. However, the different manifestations and high heterogeneity among radiologists …