Artificial intelligence (AI) and machine learning (ML) are rapidly becoming integral
components of modern healthcare, offering new avenues for diagnosis, treatment, and …

Leveraging its ability to handle large and complex datasets, artificial intelligence can
uncover subtle patterns and correlations that human observation may overlook. This is …

Abstract Introduction The Coronavirus 2019 (COVID-19) epidemic stunned the health
systems with severe scarcities in hospital resources. In this critical situation, decreasing …

Background Artificial intelligence (AI) aims to simulate human intelligence using automated
computer algorithms. There has been a rapid increase in research applying AI to various …

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

Clinical prediction models for spine surgery applications are on the rise, with an increasing
reliance on machine learning (ML) and deep learning (DL). Many of the predicted outcomes …

Study Design Narrative review. Objectives Artificial intelligence (AI) is being increasingly
applied to the domain of spine surgery. We present a review of AI in spine surgery, including …

Background Postoperative delirium (POD) is a frequent complication observed in patients
following spinal surgeries. The incidence of POD is particularly concerning for major …

Study Design Retrospective cohort study. Objectives Prolonged ICU stay is a driver of higher
costs and inferior outcomes in Adult Spinal Deformity (ASD) patients. Machine learning (ML) …

Background C5 palsy is a common postoperative complication after cervical fusion and is
associated with increased health care costs and diminished quality of life. Accurate …