This article proposes the use of autonomous actors for navigation support within complex virtual medical objects reconstructed from Computed Tomography or Magnetic Resonance Imaging. Such objects are often maze-like. Therefore, users risk getting lost within them. We present synthetic vision-based actors capable of finding collision free paths from a given position to a goal point in most triangulated virtual environments containing loops and impasses. These paths are useful for guided flythroughs when performing non-invasive diagnostic tasks.