Artificial intelligence-enhanced intraoperative neurosurgical workflow: state of the art and future perspectives

CONCLUSIONS: In this review, we summarize the state-of-art applications of AI for the intraoperative augmentation of neurosurgical workflows across multiple subspecialties. ML models may boost surgical team performances by reducing human errors and providing patient-tailored surgical plans, but further and higher-quality studies need to be conducted.PMID:34545735 | DOI:10.23736/S0390-5616.21.05483-7

Source: Journal of Neurosurgical Sciences - September 21, 2021 Category: Neurosurgery Authors: Leonardo Tariciotti Paolo Palmisciano Martina Giordano Giulia Remoli Eleonora Lacorte Giulio Bertani Marco Locatelli Francesco Dimeco Valerio M Caccavella Francesco Prada Source Type: research