Показати скорочений опис матеріалу

dc.contributor.author De Barros, A. en
dc.contributor.author Abel, F. en
dc.contributor.author Kolisnyk, S. en
dc.contributor.author Geraci, G. C. en
dc.contributor.author Hill, F. en
dc.contributor.author Engrav, M. en
dc.contributor.author Samavedi, S. en
dc.contributor.author Suldina, O. en
dc.contributor.author Kim, J. en
dc.contributor.author Rusakov, A. en
dc.contributor.author Lebl, D. R. en
dc.contributor.author Mourad, R. en
dc.date.accessioned 2025-03-07T11:16:31Z
dc.date.available 2025-03-07T11:16:31Z
dc.date.issued 2024
dc.identifier.citation Determining prior authorization approval for lumbar stenosis surgery with machine learning / A. De Barros, F. Abel, S. Kolisnyk [et al.] // Global Spine Journal. – 2024. – № 14 (6). – P. 1753–1759. en
dc.identifier.other DOI: 10.1177/21925682231155844 en
dc.identifier.uri https://dspace.vnmu.edu.ua/123456789/7088
dc.description.abstract Lumbar spinal stenosis (LSS) is a degenerative condition with a high prevalence in the elderly population, that is associated with a significant economic burden and often requires spinal surgery. Prior authorization of surgical candidates is required before patients can be covered by a health plan and must be approved by medical directors (MDs), which is often subjective and clinician specific. en
dc.language.iso en en
dc.publisher Global Spine Journal en
dc.subject lumbar spinal stenosis en
dc.subject spinal surgery en
dc.subject artificial intelligence en
dc.subject machine learning en
dc.subject surgical decision making en
dc.title Determining prior authorization approval for lumbar stenosis surgery with machine learning en
dc.type Article en


Файли цього елементу

Даний матеріал зустрічається у наступних зібраннях

Показати скорочений опис матеріалу