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. 

National Mobile X-Ray expands presence in North Carolina with acquisition

National Mobile X-Ray, a Lakeway, Texas-based mobile imaging provider, announced that it has acquired Asheville, North Carolina-based MMDS Mobile X-Ray.

March 21, 2019

Mobile x-ray system from Siemens Healthineers gains FDA clearance

Siemens Healthineers announced Wednesday, March 20, that its new mobile x-ray system, the Mobilett Elara Max, has gained FDA approval.

March 20, 2019
Cheryl Petersilge, MD, MBA, with the department of regional radiology at the Cleveland Clinic, examined enterprise imaging—and how radiologists must integrate and collaborate with other departments. Her clinical perspective clinical perspective was published online in the October issue of the American Journal of Roentgenology.

AI trained to interpret pediatric x-rays based on an entire series of images

Researchers used a convolutional neural network (CNN) to classify acute and non-acute findings in pediatric elbow x-rays, according to new research published in Radiology: Artificial Intelligence. The team’s recurrent neural network was able to interpret an entire series of images together, mimicking the decision-making process of a human radiologist.

February 1, 2019

AI can localize fractures detected in wrist x-rays

Object detection convolutional neural networks (CNNs) can detect and localize fractures in wrist x-rays, according to a new study published in Radiology: Artificial Intelligence.

January 31, 2019
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Hospital upgrades x-ray equipment as part of major overhaul

Horton General Hospital in Banbury, England, has installed new and improved x-ray equipment to help provide better patient care. The addition is part of a £3.2 million (approximately $4.4 million) upgrade to the hospital.

January 25, 2019

AI interprets chest x-rays, prioritizes critical findings

Researchers have trained an artificial intelligence (AI) system to prioritize chest x-rays containing critical findings, according to a new study published in Radiology.

January 22, 2019

Community fears temporary changes to x-ray services may become permanent

At North Cotswolds Community Hospital in Gloucestershire, England, x-ray services were reduced due to ongoing staffing issues. There are now fears that this temporary change will be made permanent. 

January 17, 2019

Patient receives unexpected bill for more than $5K after chest x-ray

A woman in Colorado was left stunned after she found herself with a $5,500 bill from a visit to a free-standing ER. She stopped at the facility when she was having difficulty breathing and received a chest x-ray.

January 3, 2019

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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