Abstract Purpose of Review With the unprecedented advancement of data aggregation and
deep learning algorithms, artificial intelligence (AI) and machine learning (ML) are poised to …

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 …

Medical costs are one of the most common recurring expenses in a person's life. Based on
different research studies, BMI, ageing, smoking, and other factors are all related to greater …

Adult spinal deformity (ASD) has gained significant attention over the past decade with
improvements in diagnostic tools, classification schemes, and surgical technique. The …

OBJECTIVE Nonhome discharge and unplanned readmissions represent important cost
drivers following spinal fusion. The authors sought to utilize different machine learning …

Abstract Background In Japan, several large healthcare databases have become available
for research since the early 2000's. However, validation studies to examine the accuracy of …

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 …

Although Kyphosis, an excessive forward rounding of the upper back, can occur at any age,
adolescence is the most common time for Kyphosis. Surgery is frequently performed on …

Accurately predicting patient expenditure in healthcare is an important task with many
applications such as provider profiling, accountable care management, and capitated …

Purpose This study aims to provide insights into management accounting changes (MACs)
and potential roles of big data analytics (BDA) in accelerating the MACs in an Indonesian …