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. 

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Mahadevappa Mahesh, PhD, professor of radiology and a medical physicist at the Johns Hopkins University School of Medicine, explains a new American College of Radiology (ACR) effort to ensure that lower radiation dose X-ray images under Image Wisely and As Low as Reasonable Achievable (ALARA) meet diagnostic reading standards. He spoke to Radiology Business at the Radiological Society of North America (RSNA) 2022 meeting.

VIDEO: Making sure lower dose X-ray is still diagnostic quality

Mahadevappa Mahesh, PhD, professor of radiology and a medical physicist at the Johns Hopkins University School of Medicine, explains a new ACR effort to ensure that lower radiation dose X-ray images under Image Wisely and As Low as Reasonable Achievable (ALARA) meet diagnostic reading standards.

An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

AI triages pneumothorax patients with differentiated diagnoses

A commercially available AI package has proven adept at distinguishing between two closely similar but unequally urgent conditions on chest X-rays.

A CT coronary calcium scoring exam at Northwestern Medicine's Central DuPage Hospital in the Chicago Suburbs. Dave Fornell

Trends in the number of radiology studies and a decline in radiation dose

A special report in Radiology offers a rare overview of the number of radiology exams performed each year worldwide and focuses on the decline of associated radiation doses patients receive.

knee x-ray

AI detects early signs of osteoarthritis from X-ray images

Increased ability to catch osteoarthritis early from X-ray images alone could help treat symptoms and prevent costly MRI examinations.

Daniela Pfeiffer, professor of radiology and medical director of the study

Dark field chest X-rays can improve diagnosis of COVID-related lung disease

The novel technology offers a lower-radiation alternative to CT while offering key information about infected lung tissue.

AI is still one of the key technologies on the floor many radiologists want to learn more about. of the AI. A product rep discussing breast automated detection AI in the crowded Lunit booth at RSNA 2022.

9 technology trends and takeaways from RSNA 2022

Here are some interesting new technologies and key trends from the vast expo floor at the Radiological Society of North America 2022 meeting.

Dynamic lung air flow analysis just using X-ray without any contrast with new technology from 4D Medical.

PHOTO GALLERY: New technology and trends at RSNA 2022

Images from the Radiological Society of North America (RSNA) 2022 annual meeting Nov. 27- Dec. 1 in Chicago. The gallery includes new technologies and a look at sights around the world's largest radiology conference. 

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AI generates imitation lung X-rays replete with diagnosable pathologies

Stanford researchers have created synthetic yet highly realistic chest X-rays by customizing an open-source AI model called Stable Diffusion for rendering text as images.

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