CubeVue Autometrics uses deep-learning AI algorithms to automatically identify and segment foot and ankle CT scans in under two minutes. After segmentation is complete, the software can display the scans as 3D renderings and multiplanar reconstructions. The fully automated AI algorithm was trained on 300 datasets of foot and ankle CT exams.
Diagnostic examination of foot and ankle bone injuries and diseases often relies on manual segmentation of CT scans, which is a time-consuming process. With CubeVue Autometrics, clinicians can apply software tools to automatically segmented CT datasets and obtain measurements of bone angles that are critical for identifying foot and ankle deformities, CurveBeam said.
The AI segmentation platform also offers automated CT measurements of hindfoot alignment in 3D as well as of the air space between the tibia and fibula for assessing syndesmosis injury.
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