Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …

There is a growing interest in the application of artificial intelligence (AI) to orthopaedic
surgery. This review aims to identify and characterise research in this field, in order to …

Purpose The field of artificial intelligence is ever growing and the applications of machine
learning in spine care are continuously advancing. Given the advent of the intelligence …

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

This review summarizes best practices for the perioperative care of older adults as
recommended by the American Geriatrics Society, American Society of Anesthesiologists …

Background Recent technological advances have led to the development and
implementation of machine learning (ML) in various disciplines, including neurosurgery. Our …

Animal models have been invaluable in the identification of molecular events occurring in
and contributing to intervertebral disc (IVD) degeneration and important therapeutic targets …

Abstract Objectives Machine Learning and Artificial Intelligence (AI) are rapidly growing in
capability and increasingly applied to model outcomes and complications within medicine …

Background and purpose—External validation of machine learning (ML) prediction models
is an essential step before clinical application. We assessed the proportion, performance …

Big data has transformed into a trend phrase in healthcare and neurosurgery, becoming a
pervasive and inescapable phrase in everyday life. The upsurge in big data applications is a …