Evidence map›Paper›PMID 38130042›Full record

ArticleAsian spine journal2024

Current Trends in Artificial Intelligence-Assisted Spine Surgery: A Systematic Review.

Wongthawat Liawrungrueang, Sung Tan Cho, Peem Sarasombath, Inhee Kim, Jin Hwan Kim

Abstract read
In one paragraph

Article in Asian spine journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wongthawat LiawrungrueangDepartment of Orthopaedics, School of Medicine, University of Phayao, Phayao, Thailand.
Sung Tan ChoDepartment of Orthopaedics, Inje University Ilsan Paik Hospital, Goyang, Korea.
Peem SarasombathDepartment of Orthopaedics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Inhee KimDepartment of Orthopaedics, Police National Hospital, Seoul, Korea.
Jin Hwan KimDepartment of Orthopaedics, Inje University Ilsan Paik Hospital, Goyang, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Artificial intelligenceAugmented realitySpine surgeryVirtual reality

Identifiers

PMID38130042
PMCPMC10910143

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.