Glassbeam unveils AI anomaly detection for imaging modality maintenance

Monday, June 4, 2018
Glassbeam has expanded its technology for detecting anomalies in components of CT scanners such as tube temperature

Maintenance and repair for CT scanners may soon be more immediate, less frequent and more affordable following the upcoming expansion of Glassbeam Inc.’s anomaly detection technology. 

The machine data analytics company elaborated on the development at the AAMI 2018 Conference and Expo in Long Beach, California, referring to it as a part of its approach for utilizing AI capabilities to detect and alert providers to changes in components of computed tomography scanners from tube temperature to waterflow. They plan to eventually include other critical imaging modalities such as MR. 

Read more on what John R. Fischer from DOTmed has to say here.