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.

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.

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.

Radiologists best AI at diagnosing COVID on chest X-rays

AI can help humans inspect chest X-rays for COVID-19, but the technology is unfit to serve as a standalone diagnostic tool for that purpose.

Potential $1.5B effort kicks off to study low-dose radiation risks

The National Academies of Sciences, Engineering, and Medicine have released a report estimating $100 million will be needed for each of the next 15 years to learn how exposure to low doses of radiation affect human health.

Crowdsourced X-rays suitable for training AI in orthopedic injuries

The Internet is an acceptable source of images for training algorithms to automatically triage patients with dislocated joints and similar orthopedic emergencies.

AI inspects endotracheal tube placement on chest X-rays

Radiology researchers have demonstrated the reliability of an AI system they developed to automatically check placement of endotracheal tubes on chest X-rays.

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.

New x-ray technique for checking tube placement cuts radiation dose 80%

Radiologists have developed an abdominal x-ray protocol that quantifies patient “thickness” to yield images of high quality while reducing radiation dose by 80%.

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