Artificial intelligence in spine surgery

Author(s):
Karhade, A.V.
Published
2022
Publication type
Doctoral Thesis

Abstract

The societal burden of spinal conditions is vast and continues to grow with the in- creasing prevalence of patients with spinal degenerative disease, spinal metasta- ses, and spinal infections. Recent application of artificial intelligence in healthcare have shown great promise and similar extensions in spine surgery may improve decision-making. The purpose of this thesis was to examine the utility of predictive analytics and natural language processing in spine surgery.

Artificial intelligenceMachine learningpredictive analysisNatural language processingSpine tumorSpinal metastatic diseaseSpinal epidural abscessAnterior cervical discectomy and fusionLumbar disc herniationIncidental durotomy
Defense date
2022-10-13
Language
English
Supervisor(s)
Peul, W.C.
Advisor(s)
Broekman, M.L.D.
Committee member(s)
Nelissen, R.G.H.H.; Oner, F.C.; Vleggeert-Lankamp, C.L.A.M.; Bartels, R.H.M.A.; Lingsma, H.F.
Qualification
Ph.D.
Degree granting institution
Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden
hdl
1887/3480212
ISBN(s)
9789464585988