Can you identify the disease entity based upon the findings on chest radiograph? Test your clinical knowledge using the following example. This chest radiograph shows an area of marked oligemia ...

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 ...

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 ...

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 ...

SALT LAKE CITY--(BUSINESS WIRE)--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 ...

Please provide your email address to receive an email when new articles are posted on . The FDA has granted 510(k) clearances to seven triage and notification findings of varying conditions on chest X ...

Manipal Hospitals, one of India's foremost integrated healthcare providers, has adopted a leading Australian decision-support ...

An 87-year-old man presents to Okinawa National Hospital in Japan following referral for evaluation of an abnormal shadow on the left lower lobe of his lung. This was detected in December 2016, during ...

A computer-aided detection (CAD) chest X-ray tool has shown diagnostic accuracy comparable to experienced radiologists in identifying pulmonary tuberculosis (TB) in low-resource, high-burden settings, ...

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 ...