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UID:pretalx-national-xr-day-2025-3WUDPQ@pretalx.surf.nl
DTSTART;TZID=CET:20250702T145500
DTEND;TZID=CET:20250702T152000
DESCRIPTION:Accurate three-dimensional (3-D) appreciation of cranial anatom
 y is essential yet difficult to achieve with conventional two-dimensional 
 (2-D) imaging. Lumi\, an AI-driven\, cloud-based mixed-reality (MxR) platf
 orm that originated from and is studied in close cooperation with the UMC 
 Utrecht\, automatically converts DICOM data into patient-specific hologram
 s that can be explored on a head-mounted display or 2-D screen. In this pr
 esentation we summarise the current bench-to-bedside evidence base to quan
 tify Lumi’s effect on spatial insight\, surgical planning and task perfo
 rmance.
DTSTAMP:20260809T040554Z
LOCATION:Theil C1-4 (60p)
SUMMARY:Added Value of AI based Mixed-Reality in Cranial Neurosurgery - Tri
 stan van Doormaal
URL:https://pretalx.surf.nl/national-xr-day-2025/talk/3WUDPQ/
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