Künstliche Intelligenz in der Neurochirurgie

Translated title of the contribution: Artificial intelligence in neurosurgery

M. M. Bonsanto*, V. M. Tronnier

*Corresponding author for this work


Background: Artificial intelligence (AI) in neurosurgery is becoming increasingly more important as the technology advances. This development can be measured by the increase of publications on AI in neurosurgery over the last years. Objective: This article provides insights into the current possibilities of using AI in neurosurgery. Material and methods: A review of the literature was carried out with a focus on exemplary work on the use of AI in neurosurgery. Results: The current neurosurgical publications on the use of AI show the diversity of the topic in this field. The main areas of application are diagnostics, outcome and treatment models. Conclusion: The various areas of application of AI in the field of neurosurgery with a refined preoperative diagnostics and outcome predictions will significantly influence the future of neurosurgery. Neurosurgeons will continue to make the decisions on the indications for surgery but an optimized statement on diagnosis, treatment options and on the risk of surgery will be made by neurosurgeons with the help of AI in the future.

Translated title of the contributionArtificial intelligence in neurosurgery
Original languageGerman
Issue number3
Pages (from-to)229-234
Number of pages6
Publication statusPublished - 01.03.2020

Research Areas and Centers

  • Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)


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