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...

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Autor principal:	Mohammad Mofatteh
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	neurosurgery neurological surgery brain surgery spine surgery artificial intelligence machine learning deep learning nervous system diagnosis prognosis global health Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/9099ed08104f410a8c9a1363b0e56449
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spelling	oai:doaj.org-article:9099ed08104f410a8c9a1363b0e564492021-12-02T01:16:14ZNeurosurgery and artificial intelligence10.3934/Neuroscience.20210252373-7972https://doaj.org/article/9099ed08104f410a8c9a1363b0e564492021-08-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/Neuroscience.2021025?viewType=HTMLhttps://doaj.org/toc/2373-7972Neurosurgeons 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.Mohammad MofattehAIMS Pressarticleneurosurgeryneurological surgerybrain surgeryspine surgeryartificial intelligencemachine learningdeep learningnervous systemdiagnosisprognosisglobal healthNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENAIMS Neuroscience, Vol 8, Iss 4, Pp 477-495 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	neurosurgery neurological surgery brain surgery spine surgery artificial intelligence machine learning deep learning nervous system diagnosis prognosis global health Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	neurosurgery neurological surgery brain surgery spine surgery artificial intelligence machine learning deep learning nervous system diagnosis prognosis global health Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Mohammad Mofatteh Neurosurgery and artificial intelligence
description	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.
format	article
author	Mohammad Mofatteh
author_facet	Mohammad Mofatteh
author_sort	Mohammad Mofatteh
title	Neurosurgery and artificial intelligence
title_short	Neurosurgery and artificial intelligence
title_full	Neurosurgery and artificial intelligence
title_fullStr	Neurosurgery and artificial intelligence
title_full_unstemmed	Neurosurgery and artificial intelligence
title_sort	neurosurgery and artificial intelligence
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/9099ed08104f410a8c9a1363b0e56449
work_keys_str_mv	AT mohammadmofatteh neurosurgeryandartificialintelligence
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Neurosurgery and artificial intelligence

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