1Department of Radiology, Research Institute of Radiological Science and Center for
Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of …

Chest radiography (CR) is the primary examination for the evaluation and follow-up of
various thoracic diseases. The number of examinations is steadily on the increase, as is …

Objective This study aimed to investigate the feasibility of using artificial intelligence (AI) to
identify normal chest radiography (CXR) from the worklist of radiologists in a health …

Objective The clinical impact of artificial intelligence-based computer-aided detection (AI-
CAD) beyond diagnostic accuracy remains uncertain. We aimed to investigate the influence …

Objective It is unknown whether artificial intelligence-based computer-aided detection (AI-
CAD) can enhance the accuracy of chest radiograph (CR) interpretation in real-world clinical …

Rationale: Artificial intelligence (AI)–assisted diagnosis imparts high accuracy to chest
radiography (CXR) interpretation; however, its benefit for nonradiologist physicians in …

As the most common examination tool in medical practice, chest radiography has important
clinical value in the diagnosis of disease. Thus, the automatic detection of chest disease …

Objectives We aim ed to evaluate a commercial artificial intelligence (AI) solution on a
multicenter cohort of chest radiographs and to compare physicians' ability to detect and …

Background The purpose of this paper is to demonstrate a mechanism for deploying and
validating an AI-based system for detecting abnormalities on chest X-ray scans at the Phu …

Objectives To investigate the efficacy of an artificial intelligence (AI) system for the
identification of false negatives in chest radiographs that were interpreted as normal by …