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 …

Study Design: Narrative review. Objectives: This review aims to present current applications
of machine learning (ML) in spine domain to clinicians. Methods: We conducted a …

OBJECTIVE Spondylolisthesis is a common operative disease in the United States, but
robust predictive models for patient outcomes remain limited. The development of models …

As a new subject, artificial intelligence (AI) mainly studies a new technology for imitating and
expanding human intelligence. Due to its obvious advantages in processing big data and …

BACKGROUND CONTEXT Frailty has been associated with inferior surgical outcomes in
various fields of spinal surgery. With increasing healthcare costs, hospital length of stay …

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

Background Lupus enteritis (LE), a main cause of acute abdominal pain in systemic lupus
erythematosus (SLE) patients, is a serious and potentially fatal complication. This study …

UTI (Urinary Tract Infection) has become common with maximum error rates in diagnosis.
With the current progress on DM (Data Mining) based algorithms, several research projects …

Abstract Machine learning (ML) has revolutionized data processing in recent years. This
study presents the results of the first prediction models based on a long-term monocentric …

Background In many cases, both the rupture rate of cerebral arteriovenous malformation
(bAVM) in patients and the risk of endovascular or surgical treatment (when radiosurgery is …