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. 

Predictive model helps reduce need for chest X-rays to diagnose pneumonia in kids

Scientists at the Ann & Robert H. Lurie Children’s Hospital of Chicago recently detailed their new approach to reducing radiation exposure in Pediatrics. 

December 14, 2021
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FDA clears GE Healthcare X-ray artificial intelligence aid for endotracheal tube placement

It’s part of a suite of solutions from the Chicago-based technology giant, embedded in mobile imaging devices to improve quality. 

November 17, 2021

Lunit receives FDA clearance for AI software that triages urgent chest X-rays

The company's Insight CXR Triage tool can detect 10 common image anomalies with up to 99% accuracy.

November 15, 2021
Chest X-ray. Using an explainable artificial intelligence (AI) model, researchers were recently able to accomplish highly accurate labeling on large datasets of publicly available chest radiograph X-rays.. 

AI assists rookie ED physicians with chest X-ray interpretations when radiologists are unavailable

In many instances, the assistive technology helped less-experienced providers change their image impressions and treatment decisions, experts explained. 

November 10, 2021
X-ray

X-ray markers may skew AI's ability to interpret extremity radiographs

"Radiologists developing convolutional neural networks should recognize and preemptively address this pitfall," experts explained in AJR.

November 10, 2021

AI spots difficult-to-detect structural joint changes on X-ray exams

The neural network may best serve as a supportive tool for radiologists assessing sacroiliac joints, researchers said recently.

November 3, 2021

Detection system outperforms radiologists at spotting chest pathologies on standard X-rays

CAD surpassed three radiologists at identifying two out of seven chest findings, including pulmonary nodules and infectious consolidation, a new study shows.

November 2, 2021
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FDA clears software for enhancing CT, MR and X-ray images

Claritas claims its product can “significantly” bolster quality without altering images, helping docs diagnose faster and reduce bottlenecks

October 26, 2021