Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion.

Samuel S RudisillAlexander L HornungJ Nicolás BarajasJack J BridgeG Michael MallowWylie LopezArash J SayariPhilip K LouieGarrett K HaradaYouping TaoHans-Joachim WilkeMatthew W ColmanFrank M PhillipsHoward S AnDino Samartzis

Published in: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society (2022)

Through an ML approach, the model identified risk factors and predicted development of EO-ASD following ACDF with good discrimination and overall performance. By addressing the shortcomings of traditional statistics, ML techniques can support discovery, clinical decision-making, and precision-based spine care.

Keyphrases

early onset
artificial intelligence
risk factors
decision making
late onset
machine learning
big data
deep learning
autism spectrum disorder
healthcare
small molecule
palliative care
attention deficit hyperactivity disorder
quality improvement
high throughput
pain management
intellectual disability