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Risk assessment methodology for trajectory planning in keyhole neurosurgery using genetic algorithms.

Iván Villanueva-NaquidCarlos Soubervielle-MontalvoRuth M Aguilar-PonceSaúl Tovar-ArriagaJuan Carlos Cuevas-TelloCesar A Puente-MontejanoMarcela Mejia-CarlosJaime G Torres-Corzo
Published in: The international journal of medical robotics + computer assisted surgery : MRCAS (2020)
The trajectories obtained with the proposal method were shorter in 5% and have greater distance from the voxels within the blood vessels in 4.7%. The use of genetic algorithm (GA) speeds up the search for the safest trajectory, decreasing in 99.9% the time required for an exhaustive search.
Keyphrases
  • risk assessment
  • machine learning
  • genome wide
  • deep learning
  • pet ct
  • copy number
  • depressive symptoms
  • heavy metals
  • human health
  • dna methylation
  • gene expression