Performance of artificial intelligence in determining candidacy for lumbar stenosis surgery

Mourad, R.; Kolisnyk, S.; Kim, J.; Rusakov, A.

dc.contributor.author	Mourad, R.
dc.contributor.author	Kolisnyk, S.
dc.contributor.author	Kim, J.
dc.contributor.author	Rusakov, A.
dc.date.accessioned	2025-03-22T16:18:16Z
dc.date.available	2025-03-22T16:18:16Z
dc.date.issued	2022
dc.identifier.citation	6) Performance of artificial intelligence in determining candidacy for lumbar stenosis surgery : The Journal of the International Society of Physical and Rehabilitation Medicine / Mourad, R., Kolisnyk, S., Kim, J., Rusakov, A., & Lebl, D. ; 5(Supplement 2), S5368. Wolters Kluwer - Medknow, 2022. – 1 p.	uk_UA
dc.identifier.uri	https://dspace.vnmu.edu.ua/123456789/8702
dc.description.abstract	Lumbar spinal stenosis (LSS) is a condition affecting 250,000 adults in the US each year. LSS is associated with a huge economic burden, with US$ 40 billion spent on surgery each year, and a relatively high rate of clinical failure postoperatively. We hypothesized that artificial intelligence (AI) provides comparable performance to a panel of spine experts	uk_UA
dc.language.iso	en	uk_UA
dc.title	Performance of artificial intelligence in determining candidacy for lumbar stenosis surgery	uk_UA
dc.type	Article	uk_UA