Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future

Jonathan A. Tangsrivimol; Ethan Schonfeld; Michael Zhang; Anand Veeravagu; Timothy R. Smith; Roger Härtl; Michael T. Lawton; Adham H. El-Sherbini; Daniel M. Prevedello; Benjamin S. Glicksberg; Chayakrit Krittanawong

doi:10.3390/diagnostics13142429

Back

Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future

Journal article

Open access

Peer reviewed

Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future

Jonathan A. Tangsrivimol, Ethan Schonfeld, Michael Zhang, Anand Veeravagu, Timothy R. Smith, Roger Härtl, Michael T. Lawton, Adham H. El-Sherbini, Daniel M. Prevedello, Benjamin S. Glicksberg, …

Diagnostics (Basel), Vol.13(14), p.2429

07/01/2023

DOI: https://doi.org/10.3390/diagnostics13142429

PMID: 37510174

Abstract

artificial intelligence (AI)

artificial Neural Networks (ANN)

Convolutional Neural Networks (CNN)

deep learning (DL)

machine learning (ML)

neurosurgery

Recurrent Neural Networks (RNN)

Files and links (1)

url

https://doi.org/10.3390/diagnostics13142429View

Published (Version of record) Open

Metrics

1 Record Views

Details

Title: Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future
Creators: Jonathan A. Tangsrivimol - The Ohio State University Wexner Medical Center
Ethan Schonfeld - Stanford University
Michael Zhang - Stanford University
Anand Veeravagu - Stanford University
Timothy R. Smith - Harvard University
Roger Härtl - Cornell University
Michael T. Lawton - Barrow Neurological Institute
Adham H. El-Sherbini - Queen's University
Daniel M. Prevedello - Neurological Surgery
Benjamin S. Glicksberg - Icahn School of Medicine at Mount Sinai
Chayakrit Krittanawong - NYU Langone Health
Publication Details: Diagnostics (Basel), Vol.13(14), p.2429
Identifiers: 991006262201902656
Academic Unit: Neurological Surgery
Language: English
Resource Type: Journal article