Editorial. AtlasGPT: dawn of a new era in neurosurgery for intelligent care augmentation, operative planning, and performance

Author:

Hopkins Benjamin S.1,Carter Bob2,Lord Jesse3,Rutka James T.4,Cohen-Gadol Aaron A.35

Affiliation:

1. Department of Neurological Surgery, Keck Medicine of University of Southern California, Los Angeles, California;

2. Harvard University and Massachusetts General Hospital, Boston, Massachusetts;

3. The Neurosurgical Atlas and Atlas Meditech, Carmel, Indiana;

4. Editor-in-Chief, Journal of Neurosurgery Publishing Group; and

5. Department of Neurological Surgery, Indiana University, Indianapolis, Indiana

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Reference14 articles.

1. ChatGPT versus the neurosurgical written boards: a comparative analysis of artificial intelligence/machine learning performance on neurosurgical board–style questions;Hopkins BS,2023

2. Mass deployment of deep neural network: real-time proof of concept with screening of intracranial hemorrhage using an open data set;Hopkins BS,2022

3. Using machine learning to predict 30-day readmissions after posterior lumbar fusion: an NSQIP study involving 23,264 patients;Hopkins BS,2019

4. Machine learning for the prediction of cervical spondylotic myelopathy: a post hoc pilot study of 28 participants;Hopkins BS,2019

5. Performance of ChatGPT, GPT-4, and Google Bard on a neurosurgery oral boards preparation question bank;Ali R

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