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. 

A CT coronary calcium scoring exam at Northwestern Medicine's Central DuPage Hospital in the Chicago Suburbs. Dave Fornell

Trends in the number of radiology studies and a decline in radiation dose

A special report in Radiology offers a rare overview of the number of radiology exams performed each year worldwide and focuses on the decline of associated radiation doses patients receive.

knee x-ray

AI detects early signs of osteoarthritis from X-ray images

Increased ability to catch osteoarthritis early from X-ray images alone could help treat symptoms and prevent costly MRI examinations.

Daniela Pfeiffer, professor of radiology and medical director of the study

Dark field chest X-rays can improve diagnosis of COVID-related lung disease

The novel technology offers a lower-radiation alternative to CT while offering key information about infected lung tissue.

AI is still one of the key technologies on the floor many radiologists want to learn more about. of the AI. A product rep discussing breast automated detection AI in the crowded Lunit booth at RSNA 2022.

9 technology trends and takeaways from RSNA 2022

Here are some interesting new technologies and key trends from the vast expo floor at the Radiological Society of North America 2022 meeting.

Dynamic lung air flow analysis just using X-ray without any contrast with new technology from 4D Medical.

PHOTO GALLERY: New technology and trends at RSNA 2022

Images from the Radiological Society of North America (RSNA) 2022 annual meeting Nov. 27- Dec. 1 in Chicago. The gallery includes new technologies and a look at sights around the world's largest radiology conference. 

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AI generates imitation lung X-rays replete with diagnosable pathologies

Stanford researchers have created synthetic yet highly realistic chest X-rays by customizing an open-source AI model called Stable Diffusion for rendering text as images.

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New AI model calculates risk of heart attack or stroke using a single X-ray

“This type of screening could be used to identify individuals who would benefit from statin medication but are currently untreated," one specialist said. The full analysis will be presented at RSNA 2022 in Chicago. 

The Nanox ARC cold-cathode, tomosythesis 3D X-ray system is currently pending FDA clearance. If cleared, it would be the first device of its kind to offer cold-cathode X-ray tube technology and the ability to slice through the anatomy in images similar to CT scans aid diagnosis. The new type of tube also could greatly reduce the size and weight of X-ray systems. The vendor sees this system as key to its larger plan to address health disparities and access to imaging world-wide. #Nanox

Can cold-cathode X-ray combined with teleradiology and AI eliminate health disparities?

The Israeli vendor Nanox says it has a vision for the future of healthcare. It seeks to address health disparities and access challenges with a new business model and innovative package of technologies. Hurdles loom, but opportunities abound. 

Around the web

After reviewing years of data from its clinic, one institution discovered that issues with implant data integrity frequently put patients at risk. 

Prior to the final proposal’s release, the American College of Radiology reached out to CMS to offer its recommendations on payment rates for five out of the six the new codes.

“Before these CPT codes there was no real acknowledgment of the additional burden borne by the providers who accepted these patients."

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