CT

Featuring 12 prior FDA clearances for chest X-ray and non-contrast head CT, the Annalise Triage platform may help streamline radiology workflows and prioritize timely diagnosis of urgent conditions.

In a recent video interview series, Dushyant Sahani, M.D., discussed the critical role of contrast media in diagnostic imaging, lessons learned from the contrast media shortage, key considerations with generic agents and currently unmet needs with contrast agents.

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Could adjustments to quality assurance review facilitate improved teamwork between radiologists and referring clinicians?

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Photon-counting computed tomography (PCCT) offers a number of salient advantages over conventional CT, including improved image resolution and contrast-to-noise ratio, enhanced denoising capability and inherent spectral sensitivity.

Catch up on the top AI-related news and research in radiology over the past month.

A 49-study meta-analysis revealed that MRI-based and CT-based radiomics models outperformed clinical models for predicting recurrence of hepatocellular carcinoma.

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In a multicenter cohort of patients with interstitial lung disease (ILD), a deep learning classification tool demonstrated an 81 percent sensitivity rate and a 77 percent specificity rate for predicting usual interstitial pneumonia on computed tomography (CT) scans.

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The success of compliance initiatives is often preceded by an easily understood rationale and simply stated benefits.

Offering dedicated computed tomography (CT) assessment of the cardiovascular system, the SpotLight and SpotLight Duo systems reportedly provide high-resolution imaging for diagnosis and monitoring of cardiovascular diseases.

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While the artificial intelligence (AI) triage system significantly reduced wait times for computed tomography pulmonary angiography (CTPA) results that were positive for pulmonary embolism (PE), researchers found no significant differences in the use of adjunctive AI with respect to accuracy rates and specificity rates.

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Is the continued rise of artificial intelligence (AI) driven by legitimate “machine learning,” or do the frequently “suspicious” chest X-rays and questionable detection of subtle findings on head CTs reveal a hype-driven train of new products with an ultimately “planned obsolescence”?

Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top radiology news of the past week.

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.

The use of automated detection of large vessel occlusion on computed tomography (CT) through artificial intelligence (AI) software reportedly led to an 11.2-minute reduction in triage time from the completion of imaging to initiation of endovascular therapy, according to newly published research.

Over 80 percent of head and neck computed tomography angiography (CTA) exams performed in the emergency department had no actionable findings for patients with non-focal neurologic complaints, and 67 percent of the exams were ordered by non-physician practitioners (NPPs), according to a newly published study.

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In a recent video interview, Vivek Bansal, M.D., discussed a recent Radiology Partners publication that offers practical tips and best practice guidance on CT and MRI neuroimaging for stroke patients.

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.