Evidence map›Paper›PMID 36034349›Full record

ReviewFrontiers in surgery2022

The application of artificial intelligence in spine surgery.

Shuai Zhou, Feifei Zhou, Yu Sun, Xin Chen, Yinze Diao, Yanbin Zhao, Haoge Huang, Xiao Fan, Gangqiang Zhang, Xinhang Li

Abstract readReview
In one paragraph

Review in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Advancing healthcare: the role and impact of AI and foundation models.American journal of translational research · 2024
    Review
  12. Emerging Technologies within Spine Surgery.Life (Basel, Switzerland) · 2023
    Review
  13. Article
  14. Article
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

10 authors.

Shuai ZhouDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Feifei ZhouDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Yu SunDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Xin ChenDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Yinze DiaoDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Yanbin ZhaoDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Haoge HuangDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Xiao FanDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Gangqiang ZhangDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.
Xinhang LiDepartment of Orthopaedics, Peking University Third Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to its obvious advantages in processing big data and image information, the combination of artificial intelligence and medical care may profoundly change medical practice and promote the gradual transition from traditional clinical care to precision medicine mode. In this artical, we reviewed the relevant literatures and found that artificial intelligence was widely used in spine surgery. The application scenarios included etiology, diagnosis, treatment, postoperative prognosis and decision support systems of spinal diseases. The shift to artificial intelligence model in medicine constantly improved the level of doctors' diagnosis and treatment and the development of orthopedics.

Indexed as

applicationartificial intelligencemachine learingspine surgerytreatment

Identifiers

PMID36034349
PMCPMC9403075

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.