An open-source, deep-learning (DL) model called Sybil performs well when it comes to predicting lung cancer risk among heavy-smoking…
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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3 predictions on how AI could affect radiology
As AI continues to be incorporated into radiology, its use could also expose clinicians to risk, both short- and long-term.
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Hyperfine highlights first patients enrolled in PRIME study
Hyperfine has enrolled the first patients in a study that will evaluate the effectiveness of the Swoop portable MRI system.
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AI helps clinicians identify misplaced endotracheal tubes
A commercially available AI tool was especially useful for identifying critically misplaced tubes.
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Data transparency is lacking for FDA-cleared Alzheimer's AI technology
Lack of transparency raises concerns about algorithmic bias impacting care planning for patients with Alzheimer’s disease.
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Informatics leaders propose AI model integration framework
Editorial calls for a clearly defined division of labor between AI systems and radiologists.
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AI reduces false-negative rates on screening DBT
An AI algorithm spotted about one-third of interval cancers on screening DBT exams, cutting down false-negative rates.
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RSNA launches 2025 Intracranial Aneurysm Detection AI Challenge
The goal of the challenge is to promote the development of AI tools to detect and localize intracranial aneurysms.
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Can eye gaze data from radiologists make AI more human?
Researcher Jeremy Wolfe, MD, discusses an emerging trend of integrating eye gaze data from radiologists into AI algorithms.
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AI supports remote guidance of IR procedures
Facial blurring software could facilitate broader adoption of remote guidance for interventional radiology (IR) procedures.