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. 

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AI sees pain points in x-rays radiologists can’t, particularly in Black patients

Algorithms were able to top imaging providers at grading the severity of pain on osteoarthritis scans, notably in African Americans.

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AI trained on popular ImageNet dataset falls short during x-ray interpretation tasks

Researchers have long-believed software that performed well on this deep learning model would automatically translate to improvements during medical imaging assignments.

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Facebook, NYU develop new AI software using chest x-rays to predict patients’ COVID needs

The model can predict up to four days in advance if intensive care solutions may be needed.

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Top radiology groups endorse new national recommendations against routine shielding during x-ray exams

The ACR and ASRT, among others, came out in support of the National Council on Radiation Protection and Measurement's new guidance, issued recently.

Imaging startup Nanox livestreams its digital x-ray imaging capabilities during RSNA’s annual meeting

During a highly anticipated event at RSNA, Chairman and CEO Ran Poliakine imaged his own wrist using the Nanox.ARC system.

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‘Lesion-aware’ neural network challenges radiologists at classifying thoracic diseases on x-rays

More than 10,000 chest x-rays were used to develop the lesion-aware convolutional neural network, known as LACNN.

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Pandemic pushes radiologists to ditch patient shielding during x-ray exams

Yale New Haven Health had intended to stop shielding in July, but COVID-19 made aprons an infection risk, and cleaning them took time they didn’t have.

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RadLogics OK’d for chest x-ray AI

The FDA has granted RadLogics 510(k) clearance for its AI-Powered chest x-ray pneumothorax application.

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Around the web

Cardiovascular Business
Global shortage of nuclear imaging isotopes may be over

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

Cardiovascular Business
‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

Cardiovascular Business
FDA clears AI tool that flags signs of heart disease in chest CT scans

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

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