Publications

@article{2019-Ghogawala-AITLS,

title = {Artificial Intelligence for the Treatment of Lumbar Spondylolisthesis},

author = {Zoher Ghogawala and Melissa Dunbar and Irfan Essa},

url = {http://www.sciencedirect.com/science/article/pii/S1042368019300257

https://pubmed.ncbi.nlm.nih.gov/31078239/},

doi = {10.1016/j.nec.2019.02.012},

issn = {1042-3680},

year  = {2019},

date = {2019-07-01},

urldate = {2019-07-01},

journal = {Neurosurgery Clinics of North America},

volume = {30},

number = {3},

pages = {383 - 389},

abstract = {Multiple registries are currently collecting patient-specific data on lumbar spondylolisthesis including outcomes data. The collection of imaging diagnostics data along with comparative outcomes data following decompression versus decompression and fusion treatments for degenerative spondylolisthesis represents an enormous opportunity for modern machine-learning analytics research.



},

note = {Lumbar Spondylolisthesis},

keywords = {AI, computational health, Predictive analytics},

pubstate = {published},

tppubtype = {article}

}

@article{2019-Ghogawala-LSMRDAI,

title = {Lumbar spondylolisthesis: modern registries and the development of artificial intelligence},

author = {Zoher Ghogawala and Melissa Dunbar and Irfan Essa},

doi = {10.3171/2019.2.SPINE18751},

year  = {2019},

date = {2019-06-01},

urldate = {2019-06-01},

journal = {Journal of Neurosurgery: Spine (JNSPG 75th Anniversary Invited Review Article)},

volume = {30},

number = {6},

pages = {729-735},

keywords = {AI, computational health, Predictive analytics},

pubstate = {published},

tppubtype = {article}

}