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 …

Background and purpose—Advancements in software and hardware have enabled the rise
of clinical prediction models based on machine learning (ML) in orthopedic surgery. Given …

The recent influx of machine learning centered investigations in the spine surgery literature
has led to increased enthusiasm as to the prospect of using artificial intelligence to create …

Study Design: Narrative review. Objectives: Artificial intelligence (AI) and machine learning
(ML) have emerged as disruptive technologies with the potential to drastically affect clinical …

Background Machine learning (ML) has garnered increasing attention as a means to
quantitatively analyze the growing and complex medical data to improve individualized …

Purpose The field of artificial intelligence is ever growing and the applications of machine
learning in spine care are continuously advancing. Given the advent of the intelligence …

Artificial intelligence (AI) is a set of theories and techniques in which machines are used to
simulate human intelligence with complex computer programs. The various machine …

Artificial intelligence and machine learning in orthopaedic surgery has gained mass interest
over the last decade or so. In prior studies, researchers have demonstrated that machine …

The Norwood surgical procedure restores functional systemic circulation in neonatal
patients with single ventricle congenital heart defects, but this complex procedure carries a …

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