  Developments in computer science in recent years are moving into hospitals.
Surgeons are faced with ever new technical challenges. Visual perception plays
a key role in most of these. Diagnostic and training models are needed to
optimize the training of young surgeons. In this study, we present a model for
classifying experts, 4th-year residents and 3rd-year residents, using only eye
movements. We show a model that uses a minimal set of features and still
achieve a robust accuracy of 76.46 % to classify eye movements into the correct
class. Likewise, in this study, we address the evolutionary steps of visual
perception between three expertise classes, forming a first step towards a
diagnostic model for expertise.
