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Current Trends in Artificial Intelligence-Assisted Spine Surgery: A Systematic Review
Asian Spine Journal ; : 146-157, 2024.
Article em En | WPRIM | ID: wpr-1042226
Biblioteca responsável: WPRO
ABSTRACT
This systematic review summarizes existing evidence and outlines the benefits of artificial intelligence-assisted spine surgery. The popularity of artificial intelligence has grown significantly, demonstrating its benefits in computer-assisted surgery and advancements in spinal treatment. This study adhered to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), a set of reporting guidelines specifically designed for systematic reviews and meta-analyses. The search strategy used Medical Subject Headings (MeSH) terms, including “MeSH (Artificial intelligence),” “Spine” AND “Spinal” filters, in the last 10 years, and English— from January 1, 2013, to October 31, 2023. In total, 442 articles fulfilled the first screening criteria. A detailed analysis of those articles identified 220 that matched the criteria, of which 11 were considered appropriate for this analysis after applying the complete inclusion and exclusion criteria. In total, 11 studies met the eligibility criteria. Analysis of these studies revealed the types of artificial intelligence-assisted spine surgery. No evidence suggests the superiority of assisted spine surgery with or without artificial intelligence in terms of outcomes. In terms of feasibility, accuracy, safety, and facilitating lower patient radiation exposure compared with standard fluoroscopic guidance, artificial intelligence-assisted spine surgery produced satisfactory and superior outcomes. The incorporation of artificial intelligence with augmented and virtual reality appears promising, with the potential to enhance surgeon proficiency and overall surgical safety.
Texto completo: 1 Índice: WPRIM Idioma: En Revista: Asian Spine Journal Ano de publicação: 2024 Tipo de documento: Article
Texto completo: 1 Índice: WPRIM Idioma: En Revista: Asian Spine Journal Ano de publicação: 2024 Tipo de documento: Article