Performance of hybrid artificial intelligence in determining candidacy for lumbar stenosis surgery.

Raphaël MouradSerhii KolisnykYurii BaiunAlessandra FalkTitenkov YuriyFrolov ValeriiAleksey KopeevOlga SuldinaAndrey PospelovJack KimAndrej RusakovDarren R Lebl

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)

Our results suggest that AI can be used to automate the evaluation of surgical candidacy for LSS with performance comparable to a multidisciplinary panel of physicians.

Keyphrases

artificial intelligence
minimally invasive
machine learning
big data
deep learning
primary care
coronary artery bypass
quality improvement