NeuroLens: organ localization using natural language commands for anatomical recognition in surgical training.

Journal: International journal of computer assisted radiology and surgery
Published Date: Jun 24, 2025

Abstract

PURPOSE: This study introduces NeuroLens, a multimodal system designed to enhance anatomical recognition by integrating video with textual and voice inputs. It aims to provide an interactive learning platform for surgical trainees.

Authors

  • Nevin M Matasyoh
  • Daniel Delev
    Neurosurgical Artificial Intelligence Laboratory Aachen (NAILA), RWTH Aachen University Hospital, Aachen, Germany.
  • Waseem Masalha
    Neurosurgical Clinic, University Hospital Erlangen, Schwabachanlage 6, 91054, Erlangen, Bavaria, Germany.
  • Franziska Mathis-Ullrich
    Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology (KIT), 76131, Karlsruhe, Germany.
  • Ramy A Zeineldin
    Research Group Computer Assisted Medicine (CaMed), Reutlingen University, 72762, Reutlingen, Germany. Ramy.Zeineldin@Reutlingen-University.DE.

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