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Annalise.ai showcases AI tools for medical imaging at RSNA

Press releases may be edited for formatting or style | November 28, 2022 Artificial Intelligence X-Ray
SYDNEY and CHICAGO, Nov. 27, 2022 /PRNewswire-PRWeb/ -- Annalise.ai, which was just named 2022's "Best New Radiology Vendor" by AuntMinnie.com, is celebrating yet another stellar year of growth and innovation at the Radiological Society of North America (RSNA) 2022 Annual Meeting.

"Our appearance at RSNA 2022 signals our ambition to transform the power of AI in radiology," said Lakshmi Gudapakkam, CEO of Annalise.ai. "We are creating interpretive support tools that help specialists diagnose and treat patients more efficiently and accurately – and working to set new standards for clinical excellence. I invite you to visit us at Booth #4757 in the RSNA AI Showcase in the South Hall."

Annalise.ai has officially started building up its U.S. team to support growth in North America. The U.S. version of Annalise Enterprise CXR module received a 510(k) clearance from the U.S. Food and Drug Administration (FDA) for use in triage and notification of a subset of chest X-ray findings.

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"Our clinical solutions are based on one of the world's largest known radiologist-labeled data sets and are currently available across hundreds of sites in hospitals and dedicated imaging centers worldwide," said Rick Abramson, M.D., MHCDS, FACR, Chief Medical Officer of Annalise.ai. "We are accelerating our efforts to bring next-generation solutions with superior clinical outcomes to support growing radiologist work volumes."

Recently, Annalise.ai was named "Best New Radiology Vendor" by AuntMinnie.com, the authoritative radiology news site. The company was cited for its Enterprise CXR tool and its growing list of advances in the radiology space.

Below is an overview of Annalise.ai solutions and the activities during the upcoming RSNA2022.

Annalise Enterprise CXR, the "Best New Radiology Vendor" of 2022
Annalise Enterprise CXR, launched in 2020, is an AI-powered comprehensive decision-support solution for chest X-rays that detects up to 124 findings. Its AI model is trained on a set of more than 780,000 unique studies with more than 280 million labels sourced from Australia, Europe, and the U.S., and its validation study was published last year in The Lancet Digital Health.

Annalise Enterprise CXR is one of the only decision-support AI solutions for chest X-rays that analyzes up to three images, including lateral images. In addition to the recognition by Aunt Minnie, the solution received accolades from MedTech Breakthrough, an independent market intelligence organization that recognizes the top companies, technologies and products in global health and medical technology.

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