Remove Imaging Remove Radiograph Remove X-ray
article thumbnail

AI functions in x-ray systems may save radiographers time

AuntMinnie

Intelligent virtual and AI-based collimation features appear to save radiographers time during x-ray image acquisitions – a key function for enabling more patient-focused workflows, according to a recent study. ATC and SVO enable the radiographer to save time during chest or stitched examinations.

X-ray 105
article thumbnail

Hip x-rays help screen for osteoporosis in THA patients

AuntMinnie

Plain hip x-rays may help screen patients for osteoporosis before they undergo total hip arthroplasty (THA), according to a study published November 14 in Scientific Reports. However, several studies have suggested that indices on plain hip x-rays may be reliable screening tools in female or Asian ethnicities.

X-ray 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What Can Happen With Your X-Ray Collimator?

Atlantis Worldwide

An X-ray collimator is an essential component of medical imaging equipment that directs and shapes X-ray beams to ensure precise targeting during radiographic procedures.

X-ray 84
article thumbnail

AI brings scoliosis monitoring on x-rays into modern era

AuntMinnie

An AI model has delivered a long overdue update of pediatric bone growth predictions used in x-ray imaging to monitor scoliosis, according to a study published April 30 in Radiology. Full-body biplanar slot scanning is a type of low-dose digital x-ray imaging used to monitor scoliosis.

X-ray 105
article thumbnail

AI improves x-ray reads for rads with varying experience

AuntMinnie

AI assistance can improve the detection accuracy of thoracic abnormalities on chest x-rays across radiologists with varying levels of expertise, according to a study published December 12 in Radiology. About 50% of the x-rays had abnormal findings. Image courtesy of Radiology. for pleural effusion, and 5.9%

X-ray 117
article thumbnail

Can AI help rule out ‘unremarkable’ chest x-rays?

AuntMinnie

A commercially available AI algorithm shows potential for off-label use as a way to generate automatic reports for “unremarkable” chest x-rays, according to a study published August 20 in Radiology. These included chest radiographs that displayed abnormalities of no clinical significance, which are typically treated as normal.

X-ray 111
article thumbnail

AI model shows promise for interpreting follow-up chest x-rays

AuntMinnie

A group in Seoul, Korea, has developed an AI model that could help reduce radiology workflows by identifying “no changes” in follow-up chest x-rays of patients in critical care, according to a study published October 24 in Radiology. Example of triage of no change in a pair of chest radiographs in the emergency department. (A)

X-ray 111