The Pulmonary Embolism (PE) Triage and Notification (PETN) module with RapidAI’s RapidPE platform reportedly demonstrated over 90 percent sensitivity and specificity rates for detection of central PE on computed tomography (CT), according to multicenter study findings presented at the 9th Annual Pulmonary Embolism Symposium.
AI Software for CT Detection of Large Vessel Occlusion Facilitates Reduction of Triage Time for Acute Stroke
Study Shows Significant Overutilization of Head and Neck CT Angiography in the ER
Indicated for the triage and notification of obstructive hydrocephalus on non-contrast brain computed tomography (CT), the artificial intelligence (AI)-enabled software is reportedly the first radiology triage modality to obtain the Food and Drug Administration’s (FDA) Breakthrough Device Designation.
Abnormal findings on coronary computed tomography angiography-derived fractional flow reserve (CCTA-FFR) are associated with 3.2-fold higher risks of all-cause death or spontaneous myocardial infarction (MI) in patients with new-onset stable angina pectoris and coronary stenosis, according to newly published research.
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The presence of high-grade hypoattenuation thickening on follow-up computed tomography (CT) after left atrial appendage occlusion (LAAO) procedures for patients with atrial fibrillation was associated with a 4.6-fold risk for stroke, according to newly published research.
Through the use of artificial intelligence (AI) and imaging modalities such as ultrasound, CT, and MRI, the newly FDA-cleared VisAble.IO software reportedly enhances planning and real-time assessment for liver tumor ablation procedures.
Catch up on the top radiology content of the past week.
Catch up on the top radiology content of the past week.
A high lipid core burden in non-revascularized plaque is associated with nearly a 13-fold higher risk of major adverse cardiovascular events (MACEs) such as cardiac death and myocardial infarction (MI), according to new research based on coronary computed tomography angiography (CCTA) findings.
In comparison to clinical-radiologic assessment, a deep learning CT radiomics nomogram had a 10 percent higher AUC and a 27 percent higher specificity for predicting the macrotrabecular massive subtype of hepatocellular carcinoma in external data testing.
Emerging research suggests that achieving an optimal virtual monoenergetic image (VMI) energy level with photon-counting computed tomography (CT) may allow up to a 40 percent reduction of contrast media dosing for coronary CT angiography.
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Catch up on the most viewed content at Diagnostic imaging in July 2023.
Catch up on the top radiology news of the past week.
In a study of over 20,700 people, researchers found that artificial intelligence (AI) analysis of body composition measurements via lung cancer screening computed tomography (CT) exams improves the prediction of mortality risks for lung cancer, cardiovascular disease, and all-cause mortality.
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In a study of nearly 2,500 patients with incidental pulmonary nodules (IPN) on chest computed tomography (CT) exams, 69.5 percent of those in the highest quartile of the CDC’s Social Vulnerability Index (SVI) had inappropriate IPN follow-up in comparison to 54.3 percent of those in the lowest quartile of the CDC SVI.
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For conditions ranging from interstitial lung disease and post-COVID-19 complications to idiopathic pulmonary fibrosis, photon-counting computed tomography (PCCT) facilitates simultaneous functional and morphologic lung assessment at lower radiation dosing than conventional chest CT, according to newly published research.
Superfluous pan scans have become standard for a vast majority of minor injury presentations in emergency room settings.
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New research suggests the use of high-pitch photon-counting computed tomography (PCCT) facilitates similar image quality and attenuation in the pulmonary trunk at lower iodinated contrast media (ICM) dosing levels ranging from 35 to 60 ml.
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Catch up on the top AI-related news and research from the past month.
The artificial intelligence (AI) software facilitates high-resolution three-dimensional computed tomography (CT) images of the breast.
