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.

FDA clears new cold cathode tomosynthesis system
Cold cathode tubes make for smaller systems that are lighter in weight and require less energy to operate, also resulting in decreased costs.
How 'imaging skins' could improve surgical precision in oncology settings
The novel X-ray detector was designed to be integrated into a custom imaging system that converts radiation into light.
Mycoplasma pneumonia: Experts highlight imaging findings linked to the pediatric diagnosis
Following a recent surge of mycoplasma pneumoniae pneumonia cases, experts have issued new guidance to help providers quickly identify and treat the condition, with imaging playing a prominent role.
Generative AI increases efficiency, quality of radiology reports
Experts note that multimodal GenAI presents a “transformative opportunity” to increase the efficiency and accuracy of radiologist reporting.
Shift toward imaging outside the hospital could save billions
Harvard’s David A. Rosman, MD, MBA, explains how moving imaging outside of hospitals could save billions of dollars for U.S. healthcare.

New x-ray detector ‘on the brink of revolutionizing’ medical imaging

Two of the U.S. Department of Energy’s 17 national laboratories have collaborated to invent a novel x-ray detector that powers itself, uses ultralow radiation—and delivers medical and dental images with 100 times more sensitivity than conventional designs.

AI helps radiologists, ED providers quickly locate coronavirus pneumonia from chest x-rays

In one investigation highlighted recently in the Journal of Thoracic Imaging, the algorithm was able to consistently find areas of inflammation and fluid buildup in 10 chest images.

Government watchdog says hospitals cutting imaging, using makeshift x-ray rooms to cope with COVID-19

The Office of the Inspector General report is based on phone interviews with 323 hospital leaders across nearly every state.

Thoracic radiologists offer 5 tips for when to gather coronavirus chest x-rays, CT scans

The Fleischner Society recently published its consensus statement on the role of imaging in the management and diagnosis of COVID-19 in Radiology.

Artificial intelligence pinpoints coronavirus abnormalities from chest x-rays in seconds

Behold.AI said Tuesday that its Red Dot platform takes half a minute to recognize such findings on radiographs.

AI spots broken bones on x-rays, identifies potential osteoporosis patients

“By improving identification of patients needing osteoporosis treatment or prevention, XRAIT may help reduce the risk of a second fracture and the overall burden of illness and death from osteoporosis,” epidemiology experts said Tuesday.

Chest x-ray can’t top lab testing, CT for COVID-19 but remains valuable

Experts maintained that CXR isn't as sensitive as lab testing or even computed tomography, but suggested the modality is useful in many clinical situations.

Chest x-ray falls well short of lab testing in pinpointing COVID-19

CXR is sometimes deployed by radiologists to assess patients suspected of having coronavirus when CT is not available, but a new study casts serious doubts on that practice.

X-ray

FDA clears new cold cathode tomosynthesis system

How 'imaging skins' could improve surgical precision in oncology settings

Mycoplasma pneumonia: Experts highlight imaging findings linked to the pediatric diagnosis

Generative AI increases efficiency, quality of radiology reports

Shift toward imaging outside the hospital could save billions