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. 

Head CT of a soldier with shrapnel wounds to head at a hospital in Dnipro. Photo by radiologist Olga Kachanova. Courtesy of RSNA.

PHOTO GALLERY: Radiology images of Ukrainian trauma patients wounded in war

A collection of medical images from hospitals in Ukraine showing radiology equipment in use and clinical images of wounded soldiers and civilians.

 

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Museum project uses contrast CT and X-ray to catalog world’s vertebrates

Over the course of five years, 18 different institutions worked to produce the images for a Florida Museum initiative.

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AI shows potential to diagnose wrist fractures as well as radiologists

Manual reviews of X-rays remains important, because the true effectiveness of AI is still hard to quantify.

equity

Artifacts from hair on X-rays shed light on health equity gap

Do radiologists see how the hair styles of Black and brown people impact imaging exams? 

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FDA awards breakthrough designation to AI-powered tuberculosis diagnostic tool

A rising number of patients in the U.S. are diagnosed with TB, and AI is being deployed to turn the tide.

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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.

Lunit AI chest X-rays

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

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

Around the web

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.