Limitations of the chest X-ray (CXR) have resulted in attempts to create machine learning
systems to assist clinicians and improve interpretation accuracy. An understanding of the …

Background Automated interpretation of normal chest radiographs could alleviate the
workload of radiologists. However, the performance of such an artificial intelligence (AI) tool …

The purpose of this research was to investigate attitudes of both students and teachers
concerning Artificial Intelligence (AI) tools in the L2 classroom. The study was a descriptive …

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 …

Background: Missed findings in chest X-ray interpretation are common and can have serious
consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at …

Résumé L'apport de l'intelligence artificielle (IA) en imagerie médicale est un sujet qui
suscite actuellement de très nombreuses expérimentations. Le développement des …

Objectives To evaluate an artificial intelligence (AI)–assisted double reading system for
detecting clinically relevant missed findings on routinely reported chest radiographs …

Objectives This diagnostic study assessed the accuracy of radiologists retrospectively, using
the deep learning and natural language processing chest algorithms implemented in …

Background: Missed findings in chest X-ray interpretation are common and can have serious
consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at …

Deve-se sempre considerar explicações alternativas para o quadro (ex.: edema pulmonar e
infarto pulmonar). Não existe uma combinação de sinais e sintomas suficientemente …