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Eric Barnes
Nov 24, 2000
Leadinsmall
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Latest in Digital X-Ray
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Shutting down angio systems reduces environmental impact
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Radiologists prefer local AI advice over global
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Shutting down angio systems reduces environmental impact
By Will Morton
Shutting down angiography imaging systems after 15 minutes of idle time has the potential to save nearly half of the system’s annual energy consumption.
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Climate change boosts emergency department use of x-ray, CT
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Climate change's effects -- particularly higher outdoor heat and air pollution -- increase imaging use in the emergency department, especially x-ray and CT.
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Radiologists prefer local AI advice over global
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Radiologists and other physicians tend to trust AI more when the algorithms provide local rather than global explanations of findings on chest x-rays.
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Bone health appears normal in infants born to women treated with tenofovir disoproxil fumarate to prevent HIV infection.
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DEXA screening recommended in lung transplant patients
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Patients undergoing lung transplant should be screened annually with dual energy x-ray absorptiometry (DEXA).
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In this episode of Keeping up with the Radiologists, co-hosts Saurabh (Harry) Jha, MD, and Mitchell Schnall, MD, assess the future of the chest radiograph.
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Dark-field x-ray detects bone changes related to osteoporosis
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Dark-field x-ray imaging can provide insights into bone microstructure and potentially could have a role in assessing osteoporosis.
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Chest x-ray AI shines in ‘real-world’ setting
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A PACS-integrated AI tool correctly identified pneumothorax on inpatient chest x-rays, prioritized scans, and improved radiologist reporting times.
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How do open-source LLMs compare with GPT-4 on x-ray reports?
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Freely available large language models (LLMs) may overcome limitations associated with proprietary models like GPT-4 when extracting findings from chest x-ray reports.
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AI lifts nonradiologists' x-ray interpretation skill levels
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An AI model is on par with radiologists for detecting abnormalities on chest x-rays and can boost nonradiologists' reading performance.
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NLPs show age bias when annotating chest x-rays
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Four natural language processing (NLP) tools for chest x-ray report annotation show high overall accuracy but exhibit age-related bias.
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AI performs well triaging lung x-rays in real-world settings
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AI-assisted triage of lung x-rays using commercially available software could help reduce turnaround times in real-world settings by 77%.
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