Please provide your email address to receive an email when new articles are posted on . Sreedharan and colleagues began their review with the intent to summarize the radiological findings associated ...

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 ...

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 ...

Researchers used nearly 150,000 chest X-rays to train an artificial intelligence program to identify patterns in the images associated with risk from major cardiovascular disease events. They tested ...

A pulmonary embolism is a blood clot that blocks the lung’s arteries. Blood clots do not show on chest X-rays. However, these X-rays may help doctors rule out other health conditions with similar ...

A chest X-ray cannot diagnose asthma but can provide valuable information during a severe attack or when someone is hospitalized with asthma complications. A chest X-ray can also differentiate asthma ...

Researchers have developed a deep learning model that uses a single chest X-ray to predict the 10-year risk of death from a heart attack or stroke, stemming from atherosclerotic cardiovascular disease ...

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 ...

The Fujifilm CXR-AID detects major abnormal findings from chest radiographs, such as chest nodule, consolidation and pneumothorax. Based on a press statement, the diagnostic system runs on the AI ...

Seoul National University Hospital researchers have come up with an AI model that can both classify and explain bone densities in chest X-ray images. The research team collected data from ...