Please provide your email address to receive an email when new articles are posted on . AI tools had moderate to high sensitivity in detecting three lung conditions but a higher rate of false ...

Routine chest X-rays are quietly turning into a powerful new biomarker, as artificial intelligence learns to read subtle ...

Neuman and coworkers conducted a prospective cohort study to try to add to what is known about predictive factors for a diagnosis of pneumonia in children seen in the emergency department (ED). The ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

This transcript has been edited for clarity. For more episodes, download the Medscape app or subscribe to the podcast on Apple Podcasts, Spotify, or your preferred podcast provider. Florin: Great to ...

OAK BROOK, Ill. – In a study of more than 2,000 chest X-rays, radiologists outperformed AI in accurately identifying the presence and absence of three common lung diseases, according to a study ...

In a recent study published in the journal JAMA Network Open, researchers evaluated the accuracy and quality of chest radiograph reports generated using artificial intelligence (AI) interpretations of ...

Please provide your email address to receive an email when new articles are posted on . In children exposed to tuberculosis, chest radiography helped in detecting asymptomatic coprevalent TB and ...

This combined model achieved a high level of accuracy, suggesting that imaging data alongside basic clinical information could be effective for screening.

Diaphragm position on neonatal bedside chest radiograph appeared to be a poor surrogate for aerated lung volume and expansion, with a weak correlation to CT scan calculations. Bedside chest radiograph ...