Artificial intelligence in predicting postoperative heterotopic ossification following anterior cervical disc replacement.

Rui ZongCan GuoJun-Bo HeTing-Kui WuHao Liu

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 (2024)

Through an ML approach, the model identified risk factors and predicted development of high grade HO following ACDR with good discrimination and overall performance. By addressing the shortcomings of traditional statistics and adopting a new logical approach, ML techniques can support discovery, clinical decision-making, and intraoperative techniques better.

Keyphrases

artificial intelligence
high grade
risk factors
decision making
machine learning
big data
patients undergoing
deep learning
low grade
small molecule
high throughput
pi k akt
cell proliferation
signaling pathway