Background Enhanced recovery after surgery (ERAS) represents an evidence-based
multidisciplinary approach to perioperative management after major surgery that decreases …

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

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 …

The burden of pain is unequal across racial and ethnic groups. In addition to racial and
ethnic differences in the experience of pain, there are racial and ethnic disparities in the …

Background Identifying patients at risk of not achieving meaningful gains in long-term
postsurgical patient-reported outcome measures (PROMs) is important for improving patient …

The purpose of this article is to review the current state of outcome measurement in spine
surgery, with an emphasis on patient-reported outcome measures (PROMs). The commonly …

Low back pain (LBP) is currently the leading cause of disability worldwide and the most
common reason for workers' compensation (WC) claims. Studies have demonstrated that …

Abstract Background Context There is considerable variability in patient-reported outcome
measures following surgery for lumbar disc herniation. Individualized prediction tools that …

Worldwide, 80% of patients who undergo surgery receive opioid analgesics as the
fundamental agent for pain relief. However, the irrational use of opioids leads to excessive …

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