Chest X-rays are the most common radiological investigation requested in the NHS; this article explains how to interpret the results and identify common abnormalities. This is a Self-assessment ...

Background The inclusion of clinical information may have unrecognized influence in the interpretation of diagnostic testing. Objective The objective of the study was to determine the impact of ...

Please provide your email address to receive an email when new articles are posted on . When assisted by artificial intelligence, physicians achieved a higher diagnostic accuracy in interpreting chest ...

OAK BROOK, Ill. - A sophisticated type of artificial intelligence (AI) can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists, according to a study published ...

Pneumonia is a common disease, affecting 5 million Americans per year, and is the 6th leading cause of death in the United States. Patient survival improves significantly when pneumonia is diagnosed ...

Researchers pitted 72 radiologists against four AI tools in an analysis of more than 2,000 X-rays. The human experts won. Image courtesy of the Public Health Image Library AI tools may help boost ...

From 20 minutes or more to 10 seconds. Researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how quickly a new system they studied that utilizes artificial ...

Please provide your email address to receive an email when new articles are posted on . Agreement on a pediatric acute respiratory distress syndrome diagnosis was common using 2015 criteria. Most ...

"We believe ChestView will transform how chest X-rays are analyzed, making healthcare delivery faster, safer, and more effective for millions of patients." ChestView has already demonstrated ...

The radiographs were from patients ranging in age from 1 week to 19 years (median, 3.5 years; interquartile range, 1.6–6.0 years). Fifty (50%) patients were male. The kappa coefficients of inter-rater ...

AI tools may help boost radiologists' confidence in their diagnoses, but they can't be relied on to identify common lung diseases on chest X-rays, a new study says. Researchers pitted 72 radiologists ...