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Eric Barnes
Nov 24, 2000
Leadinsmall
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Latest in Digital X-Ray
Space
Part I: What will we learn from x-rays in space?
April 2, 2025
Images Large Radiol Thumbnail
Generative AI model shows promise in chest x-ray study
March 25, 2025
Emergency
ML-based system predicts x-ray service times
March 20, 2025
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Osteoporosis risk assessment tools underperform in younger women
March 19, 2025
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Part I: What will we learn from x-rays in space?
By Will Morton
In the next few days, astronauts aboard a SpaceX mission will take x-rays for the first time in space.
April 2, 2025
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Generative AI model shows promise in chest x-ray study
By Amerigo Allegretto
A multimodal generative AI model achieved high diagnostic accuracy and showed clinical value in preliminary reporting of chest x-ray images.
March 25, 2025
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ML-based system predicts x-ray service times
By Will Morton
A team in Italy has developed a real-time machine-learning (ML) system that can predict x-ray service times in emergency departments.
March 20, 2025
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Osteoporosis risk assessment tools underperform in younger women
By Will Morton
Three screening tools recommended by the U.S. Preventive Services Task Force (USPSTF) are suboptimal for identifying women who may be at risk for osteoporosis.
March 19, 2025
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Ultrasound-guided fluoro for kidney stones cuts radiation to kids
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Fluoroscopy-assisted ultrasound guidance for mini-percutaneous nephrolithotomy procedures in children is safer and more effective than fluoroscopy alone.
March 13, 2025
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Generative AI model validated in chest x-ray study
By Will Morton
A group in South Korea has validated a generative AI model that could reduce reading times and increase chest x-ray reporting accuracy.
March 11, 2025
An example that features an AI-generated report that identified “scattered pulmonary granulomatous calcifications.” In the first session, three of five readers specifically reported the presence of a nodule. Following the introduction of the AI-generated report, only one reader maintained the specific mention of a nodule, whereas the other four readers adapted their reports to include the AI-suggested terminology of “granulomatous calcifications.” AP = anterior-posterior. Image and caption courtesy of RSNA.
CNN models help determine best treatment for kids with GI obstructions
By Kate Madden Yee
Convolutional neural network (CNN) algorithms show promise for identifying gastrointestinal (GI) obstructions on x-ray in a pediatric population, researchers have reported.
February 28, 2025
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DCR shows promise in patients with cystic fibrosis
By Will Morton
Dynamic chest radiography (DCR) shows potential as a tool to investigate lung health in people with cystic fibrosis.
February 13, 2025
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AI model annotates pediatric AXR reports
By Will Morton
A large language model called Axpert demonstrates potential for automatically labeling necrotizing enterocolitis on infant abdominal x-ray (AXR) reports.
February 12, 2025
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X-ray study reveals ‘smoking paradox’ in psoriatic arthritis patients
By Will Morton
Current or past smoking does not appear to be significantly associated with radiographic progression in patients with psoriatic arthritis.
February 7, 2025
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AI model detects low BMD on ankle and foot x-rays
By Will Morton
An AI model that detects low bone mineral density (BMD) on ankle and foot x-rays could be useful for screening for osteoporosis.
February 6, 2025
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LLM performance varies based on language input
By Will Morton
Baidu’s AI chatbot Ernie Bot outperformed OpenAI’s ChatGPT-4.0 on interventional radiology questions in Chinese.
January 31, 2025
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