Artificial Neural Networks to Assess Virtual Reality Anterior Cervical Discectomy Performance | Zendy

Nykan Mirchi | Zendy; Vincent Bissonnette | Zendy; Nicole Ledwos | Zendy; Alexander Winkler-Schwartz | Zendy; Recai Yilmaz | Zendy; Bekir Karlık | Zendy; Rolando F. Del Maestro | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Artificial Neural Networks to Assess Virtual Reality Anterior Cervical Discectomy Performance

Author(s) -

Nykan Mirchi,

Vincent Bissonnette,

Nicole Ledwos,

Alexander Winkler-Schwartz,

Recai Yilmaz,

Bekir Karlık,

Rolando F. Del Maestro

Publication year - 2019

Publication title -

operative neurosurgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.791

H-Index - 21

eISSN - 2332-4260

pISSN - 2332-4252

DOI - 10.1093/ons/opz359

Subject(s) - artificial neural network , anterior cervical discectomy and fusion , virtual reality , metric (unit) , computer science , artificial intelligence , discectomy , machine learning , medicine , cervical spine , surgery , operations management , lumbar , economics

Virtual reality surgical simulators provide a safe environment for trainees to practice specific surgical scenarios and allow for self-guided learning. Artificial intelligence technology, including artificial neural networks, offers the potential to manipulate large datasets from simulators to gain insight into the importance of specific performance metrics during simulated operative tasks.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research