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.

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.
Mexico, not China, is biggest tariff concern among radiology vendors
If 25% tariffs go into effect, it could have a big impact on the cost of medical imaging and radiotherapy systems, with many manufacturing facilities in Mexico.
PHOTO GALLERY: Medical imaging technology at RSNA 2024
Take a virtual tour around the Radiological Society of North America (RSNA) meeting to see the sights and new technologies displayed across the vast exhibit hall floors.

‘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.

Man vs. Machine artificial intelligence AI

Man vs. Machine: AI matches third-year radiology residents at reading chest x-rays in large study

IBM and others designed an algorithm that can match or even surpass fledgling physicians at reading the most common imaging exam in the ED.

President Trump receives COVID x-ray, CT scans while radiologist White House advisor expresses optimism

The commander-in-chief's physicians would not elaborate on whether chest imaging revealed ground glass opacities or other signs of damage.

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.

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.

Widow’s lawsuit claims hospital refuses to release husband’s x-ray report showing missed cancer diagnosis

The Woodstock, New York, woman alleges the hospital and medical record vendor Ciox Health have been “unresponsive and difficult” to deal with.

Mobile x-ray program brings exams into nursing homes, benefiting dementia patients and providers

Individuals felt safer at home with less interference to their normal everyday life, which helped them stay calm during the process, experts explained in Radiography.

Scientists develop new low-cost, environmentally friendly x-ray technology

Florida State University researchers recently described their approach developing novel x-ray scintillators in Nature Communications.

X-ray

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

Mexico, not China, is biggest tariff concern among radiology vendors

PHOTO GALLERY: Medical imaging technology at RSNA 2024