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. 

RSS icon

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

Thumbnail

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.

Many clinicians flouting X-ray-first guidelines for ankle imaging

Established clinical guidelines hold that patients presenting with ankle issues should not receive advanced imaging ahead of standard radiography. New research shows a substantial proportion of ordering clinicians sending these patients straight to MRI anyway.

Thumbnail

Deep learning models predict COPD survival based on chest radiographs

Recently, experts explored the efficacy of two deep learning models for grading COPD severity based on chest radiographs—a method that has not yet been thoroughly tested.

Thumbnail

Deep learning model accurately detects COVID-19 on chest X-ray images

Is it pneumonia or COVID-19? With the help of artificial intelligence, a chest X-ray can reveal the answer.

Thumbnail

Explainable AI model accurately auto-labels chest X-rays from open access datasets

A model that can achieve accuracy in line with that of radiologists when labeling open-access datasets could be a key factor to overcoming limitations of artificial intelligence implementation, researchers explained in Nature Communications.

Thumbnail

Intrathoracic complications in COVID patients: Incidence, associations and outcomes

New research published in Clinical Imaging links specific adverse findings on chest imaging of COVID patients to ICU admission, need for intubation and length of hospital stay. 

Thumbnail

Influential pediatric radiologist dies at 89

William Northway Jr., MD, is credited for discovering bronchopulmonary dysplasia on the chest x-rays of premature infants. His research also led to the condition's treatment.

Displaying 49 - 56 of 108

Around the web

Radiology Business
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.

Cardiovascular Business
‘A significant milestone’: First US patients receive doses of new PET radiotracer for CAD

Back in September, the FDA approved GE HealthCare’s new PET radiotracer, flurpiridaz F-18, for patients with known or suspected CAD. It is seen by many in the industry as a major step forward in patient care. 

Cardiovascular Business
Continuation of 99mTc-PYP shortage prompts need for alternative cardiac amyloidosis imaging

After three years of intermittent shortages of nuclear imaging tracer technetium-99m pyrophosphate, there are no signs of the shortage abating.