Artificial intelligence predicts disk re-herniation following lumbar microdiscectomy: development of the "RAD" risk profile.

Garrett K HaradaZakariah K SiyajiG Michael MallowAlexander L HornungFayyazul HassanBryce A BasquesHaseeb A MohammedArash J SayariDino SamartzisHoward S An

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 (2021)

Our predictive modeling via an ML approach of our large-scale cohort is the first study, to our knowledge, that has identified significant risk factors for the development of re-HNP after initial lumbar decompression. We developed the re-herniation after decompression (RAD) profile index that has been translated into an online screening tool to identify low-high risk patients for re-HNP. Additional validation is needed for potential global implementation.

Keyphrases

artificial intelligence
minimally invasive
healthcare
machine learning
dna damage
big data
dna repair
newly diagnosed
deep learning
ejection fraction
primary care
prognostic factors
risk assessment
climate change
patient reported