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25 for 25
2024 Digital X-Ray Preview
Road to RSNA 2024: Digital X-Ray Preview
By
Will Morton
This yearβs Road to RSNA for digital x-ray features a few familiar mileposts β AI for chest x-ray studies, for instance β but notably also significant research into how technology and new techniques can reduce radiation exposure in patients.
November 18, 2024
DAEC system reduces portable x-ray radiation doses
By
Will Morton
In this session on physics in radiography, a study suggests portable x-ray systems outfitted with digital autoexposure control (DAEC) systems enhance image quality and reduce radiation doses.
November 18, 2024
Is adjacent x-ray imaging in the ER justified?
By
Will Morton
A study in this session suggests that adjacent x-ray imaging had low diagnostic efficacy for both upper and lower limb regions. The finding underscores the importance of adopting a value-based approach to radiology, according to the researchers.
November 18, 2024
Are carbon nanotubes the future for digital x-ray systems?
By
Will Morton
Carbon nanotube sources for digital x-ray systems have clinical and environmental advantages over standard filament tubes in fluoroscopic imaging, according to a study presented in the session.
November 18, 2024
Digital variance angiography reduces radiation in PAE procedures
By
Will Morton
Digital variance angiography demonstrates a significant image quality advantage and enables radiation dose reduction in prostatic artery embolization (PAE), according to a study in this session.
November 18, 2024
Chest x-ray AI evaluated in clinical routine at a Norwegian hospital
By
Will Morton
In a musculoskeletal imaging scientific session, researchers at Vestre Viken Hospital Trust in Norway suggest that a fracture detection model improves clinical workflow, patient waiting times, and doctor consultations.
November 18, 2024
Chest x-ray AI performs well in postmarketing surveillance study
By
Will Morton
Even as the number of U.S.-cleared AI algorithms continues to increase, there's still a lack of data on how they perform in real-world clinical settings.
November 18, 2024
Study validates commercial AI for autonomous chest x-ray reporting
By
Will Morton
Research conducted in the U.K. will be presented in this session that evaluated the performance of an AI algorithm designed to autonomously report high-confidence normal chest x-ray studies.
November 18, 2024
Is endovascular thrombectomy cost-effective?
By
Will Morton
During this session on noninterpretive skills, a study suggests that endovascular thrombectomy is cost-effective in patients with basilar artery occlusion, from a U.S. healthcare perspective.
November 18, 2024
Vision-language model exhibits bias reading chest x-rays
By
Will Morton
Clinical deployment of vision-language foundation models with inherent demographic biases could exacerbate healthcare disparities, especially for marginalized groups, according to a study to be delivered in this session.
November 18, 2024
AI identifies misplaced endotracheal tubes
By
Will Morton
AI can significantly enhance patient safety by identifying suspected misplacements of endotracheal tube placements, according to a presentation in this session.
November 18, 2024
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