AT A GLANCE
Automatic slice placement
Automatically detect anatomy and prescribe MRI slice
Consistent and accurate images
Deliver consistent results regardless of pathology, patient position, and technologist
Time savings
Save time with automatic MRI prescription and avoid rescans
Eliminate the sources of variation by letting processes flow. AIR x™ uses deep-learning algorithms created from a database of 10's of thousands of images to automatically detect patient anatomy and prescribe MRI slices for routine and challenging neurological and knee exams, delivering consistent and quantifiable results. The automated workflow creates efficiency and reproduces steps used in planning to ensure exam consistency for same patient follow-up.
Every time I select a landmark for the prescription, the slice placement is dead on. Every time. It’s very cool.
Tom (Tomas) Schrack, ARMRIT, MRSO
Manager of MR Education and Technical Development,
Fairfax Radiological Consultants, USA
AIR x™ for improved MRI consistency and accuracy, powered by a deep-learning algorithm created from a database of 10's of thousands of images.
AIR x™ automatically detects patient anatomy and prescribes MRI slices for routine and challenging neurological and knee exams, delivering consistent and quantifiable results.
Deliver consistent MRI slice placements across multiple clinical time points, with a deep-learning algorithm that provides efficiency and time savings.
Reduce the need for rescans with AIR x™, which automatically detects anatomies and determines the best position for MRI slices.
Imaging applications for SIGNA™ is a fully customizable productivity platform, to enhance imaging accuracy, consistency and scan time. Let imaging flow, for your patients and your department.
