In recent years, machine learning (ML) and artificial neural networks (ANNs), a particular subset of ML, have been adopted by various areas of healthcare. A number of diagnostic and prognostic algorithms have been designed and implemented across a range of orthopaedic sub-specialties to date, with many positive results. However, the methodology of many of these studies is flawed, and few compare the use of ML with the current approach in clinical practice. Spinal surgery has advanced rapidly over the past three decades, particularly in the areas of implant technology, advanced surgical techniques, biologics, and enhanced recovery protocols. It is therefore regarded an innovative field. Inevitably, spinal surgeons will wish to incorporate ML into their practice should models prove effective in diagnostic or prognostic terms. The purpose of this article is to review published studies that describe the application of neural networks to spinal surgery and which actively compare ANN models to contemporary clinical standards allowing evaluation of their efficacy, accuracy, and relatability. It also explores some of the limitations of the technology, which act to constrain the widespread adoption of neural networks for diagnostic and prognostic use in spinal care. Finally, it describes the necessary considerations should institutions wish to incorporate ANNs into their practices. In doing so, the aim of this review is to provide a practical approach for spinal surgeons to understand the relevant aspects of neural networks. Cite this article:
Evidence suggests that the alleviation of pain is enhancedby a strong patient-clinician relationship and attending to a patient’s social and mental health. There is a limited role for medication, opioids in particular. Orthopaedic surgeons can use comprehensive biopsychosocial strategies to help people recover and can work with colleagues who have the appropriate expertise in order to maximize pain alleviation with optimal opioid stewardship. Preparing patients for elective surgery and caring for them after unplanned injury or surgery can benefit from planned and practiced strategies based in communication science. Cite this article:
The United States and Canada are in the midst
of an epidemic of the use, misuse and overdose of opioids, and deaths
related to overdose. This is the direct result of overstatement
of the benefits and understatement of the risks of using opioids
by advocates and pharmaceutical companies. Massive amounts of prescription
opioids entered the community and were often diverted and misused.
Most other parts of the world achieve comparable pain relief using
fewer opioids. The misconceptions about opioids that created this epidemic are
finding their way around the world. There is particular evidence
of the increased prescription of strong opioids in Europe. Opioids are addictive and dangerous. Evidence is mounting that
the best pain relief is obtained through resilience. Opioids are
often prescribed when treatments to increase resilience would be
more effective. Cite this article:
