Background Artificial intelligence (AI) based on deep learning and convolutional neural
networks (CNN) has been applied to various medical fields. We have started to develop …

Background: In this study, we aimed to develop a novel artificial intelligence (AI) algorithm to
support pulmonary nodule detection, which will enable physicians to efficiently interpret …

Importance Most early lung cancers present as pulmonary nodules on imaging, but these
can be easily missed on chest radiographs. Objective To assess if a novel artificial …

Background and objective The detection of pulmonary nodules is a key step to achieving the
early diagnosis and therapy of lung cancer. Deep learning based Artificial intelligence (AI) …

Purpose: To explore the accuracy of artificial intelligence (AI) for the diagnosis of pulmonary
nodules (PNs) on computerized tomography (CT) scans. Methods: In this study, 360 PNs …

Early detection increases overall survival among patients with lung cancer. This study
formulated a machine learning method that processes chest X-rays (CXRs) to detect lung …

Background Multicenter studies are required to validate the added benefit of using deep
convolutional neural network (DCNN) software for detecting malignant pulmonary nodules …

Purpose This study aimed to evaluate the performance of the commercially available
artificial intelligence-based software CXR-AID for the automatic detection of pulmonary …

Objectives: The aim of the study is to investigate the performance of artificial intelligence (AI)
convolutional neural networks (CNN) in detecting lung nodules on chest computed …

With the development of computer technology, electronic engineering, statistics and other
disciplines, artificial intelligence (AI) has made breakthroughs in the medical field, and …