Welcome to the age of AI-assisted imaging
Underpinning our Collaborative imaging approach is a commitment to creating smart solutions, powered by Altivity, that deliver uncompromised quality and value across the entire care pathway.
Using only the smartest innovations, including machine learning and deep learning technologies, our goal is to help clinicians improve patient outcomes across the board.
Using only the smartest innovations, including machine learning and deep learning technologies, our goal is to help clinicians improve patient outcomes across the board.
Here’s what artificial intelligence can do for you
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A new era of AI-assisted imaging has begun
“AI in Medical Imaging: Hype, Myth, Reality and Next Steps”
Listen to Eliot Siegel, MD, FSIIM, FACR, Professor and Vice Chair Research Informatics, University of Maryland School of Medicine, Chief of Radiology and Nuclear Medicine, Veterans Affairs Maryland Healthcare System
*From $600 M to $6 Billion, Artificial Intelligence Systems Poised for Dramatic Market Expansion in Healthcare
**A Model Observer study was performed comparing AiCE to FBP. Actual clinical results may differ depending on the clinical task, patient size, anatomical location and clinical practice.
** Based on the detectability index performance metric, a measure of signal to noise that takes into account the magnitude and texture of both the signal and the noise for a given LCD task.
** A model observer evaluation showed that equivalent low contrast delectability to FBP (range from 0.649 - 0.695) can be achieved with 79.6 to 82.4% less dose using AiCE at Standard setting for thin (0.5 mm) reconstruction slice thickness in simulated body phantom (MITA-FDA phantom with a body ellipse surrounding it).
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