X-ray

Medical X-rays have mostly converted from film, to computed radiography (CR) that used individual plates to record each X-ray digitally that then had to be uploaded into a PACS, to what is the standard-of-care today with digital radiography (DR). DR X-ray which allows immediate digital transfer of images into a PACS for immediate review. X-rays are used to diagnose fractures, bone abnormalities, lung pathologies and tumors, as well as monitor pediatric growth, plan for surgery and treat oncology patients during radiation therapy. More detailed anatomical imaging, especially soft tissue imaging, is usually sent for advanced imaging with CT or MRI. X-ray, especially mobile DR systems, are a primary use case for artificial intelligence (AI) integration. 

Thumbnail

Radiologists don’t see eye-to-eye with other providers on fluoroscopic swallow studies

With demand for such exams forecasted to increase alongside an aging population, rads and speech language pathologists do agree that standardization is needed.

Thumbnail

Novel X-ray tool offers in-depth look at heart damage caused by severe COVID-19

The three-dimensional images revealed chaotic vessel splitting and new vessel formations, German researchers reported in eLife.

Thumbnail

AI helps radiologists and non-specialists detect fractures on X-rays, but experts remain dubious

Tech-assisted interpretations were completed 6.3 seconds faster per person, but musculoskeletal specialists aren't sure it's ready for a clinical environment.

Thumbnail

Predictive model helps reduce need for chest X-rays to diagnose pneumonia in kids

Scientists at the Ann & Robert H. Lurie Children’s Hospital of Chicago recently detailed their new approach to reducing radiation exposure in Pediatrics. 

Thumbnail

FDA clears GE Healthcare X-ray artificial intelligence aid for endotracheal tube placement

It’s part of a suite of solutions from the Chicago-based technology giant, embedded in mobile imaging devices to improve quality. 

Thumbnail

Lunit receives FDA clearance for AI software that triages urgent chest X-rays

The company's Insight CXR Triage tool can detect 10 common image anomalies with up to 99% accuracy.

Thumbnail

AI assists rookie ED physicians with chest X-ray interpretations when radiologists are unavailable

In many instances, the assistive technology helped less-experienced providers change their image impressions and treatment decisions, experts explained. 

Thumbnail

X-ray markers may skew AI's ability to interpret extremity radiographs

"Radiologists developing convolutional neural networks should recognize and preemptively address this pitfall," experts explained in AJR.