Artificial intelligence in neurosurgery: A state-of-the-art review from past to future
In recent years, there has been a significant surge in discussions surrounding artificial
intelligence (AI), along with a corresponding increase in its practical applications in various …
intelligence (AI), along with a corresponding increase in its practical applications in various …
[HTML][HTML] The future of artificial intelligence in neurosurgery: a narrative review
J Iqbal, K Jahangir, Y Mashkoor, N Sultana… - Surgical neurology …, 2022 - ncbi.nlm.nih.gov
Background: Artificial intelligence (AI) and machine learning (ML) algorithms are on the
tremendous rise for being incorporated into the field of neurosurgery. AI and ML algorithms …
tremendous rise for being incorporated into the field of neurosurgery. AI and ML algorithms …
An introduction and overview of machine learning in neurosurgical care
JT Senders, MM Zaki, AV Karhade, B Chang… - Acta …, 2018 - Springer
Background Machine learning (ML) is a branch of artificial intelligence that allows computers
to learn from large complex datasets without being explicitly programmed. Although ML is …
to learn from large complex datasets without being explicitly programmed. Although ML is …
Natural and artificial intelligence in neurosurgery: a systematic review
JT Senders, O Arnaout, AV Karhade… - …, 2018 - journals.lww.com
BACKGROUND Machine learning (ML) is a domain of artificial intelligence that allows
computer algorithms to learn from experience without being explicitly programmed …
computer algorithms to learn from experience without being explicitly programmed …
[HTML][HTML] Neurosurgery and artificial intelligence
M Mofatteh - AIMS neuroscience, 2021 - ncbi.nlm.nih.gov
Neurosurgeons receive extensive and lengthy training to equip themselves with various
technical skills, and neurosurgery require a great deal of pre-, intra-and postoperative …
technical skills, and neurosurgery require a great deal of pre-, intra-and postoperative …
[HTML][HTML] Recent outcomes and challenges of artificial intelligence, machine learning and deep learning applications in neurosurgery–Review applications of artificial …
Neurosurgeons receive extensive technical training, which equips them with the knowledge
and skills to specialise in various fields and manage the massive amounts of information …
and skills to specialise in various fields and manage the massive amounts of information …
Machine learning and neurosurgical outcome prediction: a systematic review
JT Senders, PC Staples, AV Karhade, MM Zaki… - World neurosurgery, 2018 - Elsevier
Objective Accurate measurement of surgical outcomes is highly desirable to optimize
surgical decision-making. An important element of surgical decision making is identification …
surgical decision-making. An important element of surgical decision making is identification …
Advances in artificial intelligence, robotics, augmented and virtual reality in neurosurgery
K Kazemzadeh, M Akhlaghdoust, A Zali - Frontiers in surgery, 2023 - frontiersin.org
Neurosurgical practitioners undergo extensive and prolonged training to acquire diverse
technical proficiencies, while neurosurgical procedures necessitate a substantial amount of …
technical proficiencies, while neurosurgical procedures necessitate a substantial amount of …
A brief history of machine learning in neurosurgery
AT Schilling, PP Shah, J Feghali, AE Jimenez… - Machine Learning in …, 2022 - Springer
The history of machine learning in neurosurgery spans three decades and continues to
develop at a rapid pace. The earliest applications of machine learning within neurosurgery …
develop at a rapid pace. The earliest applications of machine learning within neurosurgery …
Machine learning in neurosurgery: a global survey
Background Recent technological advances have led to the development and
implementation of machine learning (ML) in various disciplines, including neurosurgery. Our …
implementation of machine learning (ML) in various disciplines, including neurosurgery. Our …