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.

A ‘powerful’ tool: Commercially available AI significantly outperforms radiologist reads for trauma imaging

The software was put to the test on nearly 5,000 trauma radiographs, assessing for the presence of fractures, dislocations, elbow effusions and focal bone lesions. In some cases, it outperformed radiologists by as many as 82 points.

Algorithm spots enteric tube misplacement on x-ray with great accuracy

The model was externally validated using more than 1,500 radiographs with real-world incidence of critically misplaced tubes.

Lumbar surgery AI planner, tracker gets regulatory green light

A machine learning system for planning spine surgery that also predicts post-op spinal alignment six months out has cleared the FDA’s 510(k) review process.

Life-threatening barotrauma common in intubated COVID patients, trackable by chest X-rays

Radiologists involved in the care of these patients should be especially vigilant in identifying the signs of complications, experts cautioned in a new Clinical Imaging research paper.

Mobile X-ray Leaps into the Future with New Innovations from Konica Minolta Healthcare

Dynamic Digital Radiography and the new glassless AeroDR flat panel detector will be available on the mKDR Xpress Mobile X-ray System

Mobile X-ray Leaps into the Future with New Innovations from Konica Minolta Healthcare

Konica Minolta Healthcare Americas, Inc. announced today that the company’s revolutionary Dynamic Digital Radiography (DDR) technology, enabling the visualization of anatomy in motion, will be available on the mKDR Xpress™ Mobile X-ray System.

CE mark granted for AI-based MSK interpretation aid

A Danish healthtech company has been cleared for European sales of AI software aimed at helping trauma physicians detect and classify fractures.

AI software approved for use on adult chest X-rays shows promise for pediatric population

In a sampling of 2,273 chest radiographs of kids aged 2 to 18-years-old the AI-based software achieved diagnostic accuracies ranging from 86% to 96.9% for detecting a myriad of pathologies.

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