Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in
practice is critical. Clinical evaluation aims to confirm acceptable AI performance through …

Whether the utilization of artificial intelligence (AI) during the interpretation of chest
radiographs (CXRs) would affect the radiologists' workload is of particular interest …

This short review has the aim of hel** the radiologist to identify medical devices when
interpreting a chest X-ray, as well as looking for their most commonly detectable …

Interpreting chest X-rays is a complex task, and artificial intelligence algorithms for this
purpose are currently being developed. It is important to perform external validations of …

Artificial intelligence (AI) applied to pediatric chest radiographs are yet scarce. This study
evaluated whether AI-based software developed for adult chest radiographs can be used for …

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

Objectives To externally validate the performance of a commercial AI software program for
interpreting CXRs in a large, consecutive, real-world cohort from primary healthcare centres …

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 …

Tuberculosis, which primarily affects develo** countries, remains a significant global
health concern. Since the 2010s, the role of chest radiography has expanded in tuberculosis …

Purpose To assess experience with and perceptions of clinical application of artificial
intelligence (AI) to chest radiographs among doctors in a single hospital. Materials and …