OBJECTIVE In recent years, machine learning models for clinical prediction have become
increasingly prevalent in the neurosurgical literature. However, little is known about the …

OBJECTIVE Machine learning (ML) has become an increasingly popular tool for use in
neurosurgical research. The number of publications and interest in the field have recently …

We would like to express our gratitude for the thoughtful letter regarding our article on the
quality of the development and reporting of ML prediction models in neurosurgery. We …

Objective Accurate measurement of surgical outcomes is highly desirable to optimize
surgical decision-making. An important element of surgical decision making is identification …

Deep learning (DL) is a powerful machine learning technique that has increasingly been
used to predict surgical outcomes. However, the large quantity of data required and lack of …

BACKGROUND Machine learning (ML) is a domain of artificial intelligence that allows
computer algorithms to learn from experience without being explicitly programmed …

Background Machine learning (ML) has garnered increasing attention as a means to
quantitatively analyze the growing and complex medical data to improve individualized …

Current practice of neurosurgery depends on clinical practice guidelines and evidence-
based research publications that derive results using statistical methods. However, statistical …

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 …

Abstract Machine learning (ML) involves algorithms learning patterns in large, complex
datasets to predict and classify. Algorithms include neural networks (NN), logistic regression …