Added Value of AI based Mixed-Reality in Cranial Neurosurgery
Accurate three-dimensional (3-D) appreciation of cranial anatomy is essential yet difficult to achieve with conventional two-dimensional (2-D) imaging. Lumi, an AI-driven, cloud-based mixed-reality (MxR) platform that originated from and is studied in close cooperation with the UMC Utrecht, automatically converts DICOM data into patient-specific holograms that can be explored on a head-mounted display or 2-D screen. In this presentation we summarise the current bench-to-bedside evidence base to quantify Lumi’s effect on spatial insight, surgical planning and task performance.