News | Artificial Intelligence | November 15, 2019

Infervision will exhibit at the upcoming Radiological Society for North America (RSNA) annual meeting and offer educational user experience sessions at its booth

 Infervision Head CTAI Stroke

November 15, 2019 — Infervision, a medical imaging artificial intelligence (AI) company with over 300 clinical installations globally announces the release of their InferTest no-fee application that enables healthcare providers to start experiencing the value of AI in their practice now. Infervision will be exhibiting at the upcoming Radiological Society for North America (RSNA) annual meeting in Chicago in Booth 10737, AI Showcase, North Hall, Level 2. Attendees are invited to learn how InferTest and InferRead CT Lung, their AI powered automated lung cancer assistive screening tool can benefit their clinical practice.

Infervision will also present a number of educational opportunities that leverage the company's significant clinical experience that is a result of processing over 33,000 radiology exams daily through their AI algorithms.  This will enable RSNA attendees to learn more about AI in clinical practice by speaking directly with current clinical users and hearing their first-hand experiences with AI in radiology clinical practice.

The following user experience sessions will occur in the Infervision booth at the assigned times:

Wayne Davidson, CIO, Quantum Imaging
Sunday, Dec. 1, 2:30 p.m.

Dr. Eliot Siegel, Professor and Vice Chair University of Maryland School of Medicine
Monday, Dec. 2, 3 p.m.

Matt Dewey, CIO, Wake Radiology
Tuesday, Dec. 3, 1 p.m.

Dr. Mike Esposito, CEO, PACS Harmony
Wednesday, Dec. 4, 1 p.m.

In addition, the following talk will be given during RSNA 2019, in the AI Theater:
It's Real, It Works and It's Now! Take AI Out of the Lab and into Clinical Practice
Monday, Dec. 2, 1:30 p.m. | AI Theater | AI Showcase, North Building, Level 2

Tony Gevo, VP at Infervision, points out "We realize there is a lot of confusion in the marketplace around AI in medical imaging. Given our depth of clinical experience we thought it might be refreshing to enable those who are interested to speak directly with our customers to learn about the issues surrounding AI in radiology clinical practice."

For more information: www.infervision.com


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