Neurosurgery and artificial intelligence

Neurosurgeons receive extensive and lengthy training to equip themselves with various technical skills, and neurosurgery require a great deal of pre-, intra- and postoperative clinical data collection, decision making, care and recovery. The last decade has seen a significant increase in the importa...

Full description

Saved in:
Bibliographic Details
Published inAIMS neuroscience Vol. 8; no. 4; pp. 477 - 495
Main Author Mofatteh, Mohammad
Format Journal Article
LanguageEnglish
Published United States AIMS Press 01.01.2021
Subjects
artificial intelligence
brain surgery
deep learning
diagnosis
global health
machine learning
nervous system
neurological surgery
neurosurgery
prognosis
Review
spine surgery
global health
deep learning
nervous system
neurological surgery
brain surgery
spine surgery
diagnosis
machine learning
neurosurgery
prognosis
artificial intelligence
Online AccessGet full text

Cover

More Information
Summary:Neurosurgeons receive extensive and lengthy training to equip themselves with various technical skills, and neurosurgery require a great deal of pre-, intra- and postoperative clinical data collection, decision making, care and recovery. The last decade has seen a significant increase in the importance of artificial intelligence (AI) in neurosurgery. AI can provide a great promise in neurosurgery by complementing neurosurgeons' skills to provide the best possible interventional and noninterventional care for patients by enhancing diagnostic and prognostic outcomes in clinical treatment and help neurosurgeons with decision making during surgical interventions to improve patient outcomes. Furthermore, AI is playing a pivotal role in the production, processing and storage of clinical and experimental data. AI usage in neurosurgery can also reduce the costs associated with surgical care and provide high-quality healthcare to a broader population. Additionally, AI and neurosurgery can build a symbiotic relationship where AI helps to push the boundaries of neurosurgery, and neurosurgery can help AI to develop better and more robust algorithms. This review explores the role of AI in interventional and noninterventional aspects of neurosurgery during pre-, intra- and postoperative care, such as diagnosis, clinical decision making, surgical operation, prognosis, data acquisition, and research within the neurosurgical arena.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
content type line 23
ISSN:2373-7972
2373-8006
2373-7972
DOI:10.3934/Neuroscience.2021025