Annalise ai Introduces Radiology Triage Platform for Head CT and Chest X-Ray Exams
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.
Offering an artificial intelligence (AI)-powered modality to help prioritize head computed tomography (CT) and chest X-ray exams on radiology worklists, Annalise.ai has launched the Annalise Triage software platform.
The Annalise Triage modality includes 12 prior clearances from the Food and Drug Administration (FDA) for unenhanced head CT and chest X-ray, facilitating timely detection of conditions ranging from acute subdural hematoma and tension pneumothorax to pneumoperitoneum and obstructive hydrocephalus, according to Annalise.ai.
For busy radiologists faced with daunting imaging volumes amid ongoing radiologist shortages, Annalise.ai said the adjunctive AI capabilities with Annalise Triage can enhance worklist prioritization for cases involving chest X-rays and head CT scans.
“Our advanced algorithms support radiologists by facilitating prioritization of studies with suspected critical findings, thereby optimizing radiology workflow,” noted Rick Abramson, M.D., MHCDS, FACR, the chief medical officer at Annalise.ai. “With its set of clearances, Annalise.ai promotes faster report turnaround times by identifying and elevating critical cases for immediate attention.”
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
