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 …
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 …
ChatGPT versus the neurosurgical written boards: a comparative analysis of artificial intelligence/machine learning performance on neurosurgical board–style …
Methods Six hundred forty-three Congress of Neurological Surgeons (CNS) Self-
Assessment Neurosurgery (SANS) questions were used to evaluate performance on the …
Assessment Neurosurgery (SANS) questions were used to evaluate performance on the …
GPT-4 artificial intelligence model outperforms ChatGPT, medical students, and neurosurgery residents on neurosurgery written board-like questions
GA Guerra, H Hofmann, S Sobhani, G Hofmann… - World neurosurgery, 2023 - Elsevier
Background Artificial intelligence (AI) and machine learning have transformed health care
with applications in various specialized fields. Neurosurgery can benefit from artificial …
with applications in various specialized fields. Neurosurgery can benefit from artificial …
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 …
[图书][B] Industrial applications of machine learning
Industrial Applications of Machine Learning shows how machine learning can be applied to
address real-world problems in the fourth industrial revolution, and provides the required …
address real-world problems in the fourth industrial revolution, and provides the required …
Comparison of artificial neural network and logistic regression models for prediction of outcomes in trauma patients: A systematic review and meta-analysis
Background Currently, two models of artificial neural network (ANN) and logistic regression
(LR) are known as models that extensively used in medical sciences. The aim of this study …
(LR) are known as models that extensively used in medical sciences. The aim of this study …
Artificial intelligence in dermatology and healthcare: An overview
VV Pai, RB Pai - Indian Journal of Dermatology, Venereology and …, 2021 - ijdvl.com
Many aspects of our life are affected by technology. One of the most discussed
advancements of modern technologies is artificial intelligence. It involves computational …
advancements of modern technologies is artificial intelligence. It involves computational …
A systematic review and bibliometric analysis of applications of artificial intelligence and machine learning in vascular surgery
Background Artificial intelligence (AI) and machine learning (ML) have seen increasingly
intimate integration with medicine and healthcare in the last 2 decades. The objective of this …
intimate integration with medicine and healthcare in the last 2 decades. The objective of this …
Survival prediction of glioblastoma patients—are we there yet? A systematic review of prognostic modeling for glioblastoma and its clinical potential
IA Tewarie, JT Senders, S Kremer, S Devi… - Neurosurgical …, 2021 - Springer
Glioblastoma is associated with a poor prognosis. Even though survival statistics are well-
described at the population level, it remains challenging to predict the prognosis of an …
described at the population level, it remains challenging to predict the prognosis of an …