There are a number of options for lung nodule imaging, and which to use depends on the patient.
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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DL model can aid in diagnosing myocardial ischemia
A deep-learning (DL) model can automatically measure myocardial blood flow on CT scans to help diagnose myocardial ischemia.
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ARRS: Radiologists can help PCPs boost lung cancer screening rates
Radiologists can help boost lung cancer screening uptake by educating and supporting their primary care provider peers (PCP).
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Most veterans adhere to post-EVAR surveillance imaging
Adherence to surveillance imaging after endovascular abdominal aortic aneurysm repair (EVAR) is high among veterans.
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Quantitative CT textures of the lung help assess COPD severity
Quantitative CT can capture lung inflammation patterns to assess the severity of chronic obstructive pulmonary disease (COPD).
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Machine learning standardizes bone tumor grading on MRI, CT
An AI algorithm and an updated risk stratification system produce accurate and standardized bone lesion assessment on CT and MRI…
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Nonsmokers also benefit from lung cancer screening
Lung cancer screening finds disease in nonsmokers at comparable rates as their smoking peers, researchers have reported.
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Abdominal CT imaging shows promise for diagnosing sarcopenia
Abdominal CT imaging shows promise for the opportunistic diagnosis of sarcopenia, enabling radiologists to play a greater role…
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Abdominal CT imaging shows potential for diagnosing sarcopenia
Abdominal CT imaging shows potential for the opportunistic diagnosis of sarcopenia, enabling radiologists to play a greater role…
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How can AI best help in LDCT lung cancer screening?
A commercially available AI-based tool appears effective as a prescreener in low-dose CT lung cancer screening.