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.

FDA clears new cold cathode tomosynthesis system
Cold cathode tubes make for smaller systems that are lighter in weight and require less energy to operate, also resulting in decreased costs.
How 'imaging skins' could improve surgical precision in oncology settings
The novel X-ray detector was designed to be integrated into a custom imaging system that converts radiation into light.
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.

AI spots missed findings on chest X-rays, aiding nonradiologists in emergency setting

Emergency units often lack 24/7 coverage by radiologists, presenting an opportunity for AI to aid in diagnostics.

$Hip strain injury fracture broken hip$

AI model predicts hip fractures in a short-term timeframe

Current risk assessments are unable to calculate the likelihood of a near-future fracture after a patient breaks their hip.

Collaboration brings triage AI to chest X-rays for prompt emergency care

The three year collaboration implements Lunit AI into Samsung X-ray devices.

Deep-learning model able to diagnose COVID-19 from X-rays alone

The model outperformed other AI and was able to diagnose COVID-19 in lungs with greater than 98% accuracy.

AI tool for detecting nodules in lung X-rays cleared by FDA

The software developed by Qure.ai improved the early detection of lung cancer in multiple studies.

Imaging chain dramatically improves diagnosis of fractures with AI

SimonMed achieved an 82% improvement in X-ray reading time using the technology.

Radiology students to run scans on 'mermaid'

A group of radiology students at Northern Kentucky University are conducting an analysis of the remains of a mysterious artifact known as a "Fiji Mermaid."

SEC reaches $1M settlement with imaging vendor Nanox over misstated cost of flagship device

The company claimed to investors that it could build the machine for as little as $8,000, ignoring higher alternative estimates provided by internal execs.

X-ray

FDA clears new cold cathode tomosynthesis system

How 'imaging skins' could improve surgical precision in oncology settings

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