Evidence map›Paper›PMID 40940589›Full record

ReviewJournal of robotic surgery2025

The application of robotic and artificial intelligence technologies in spinal surgery: a review focused on prospects in remote areas of China.

Zhibin Liu, Junlong Huang, Hao Zhang, Shuzhuo Zhang, Honghao Dai, Yuexin Jiang, Hongtao Bi, Zhongshu Shan

Abstract readReview
In one paragraph

Review in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
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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

8 authors.

Zhibin LiuCollege of Clinical Medicine, Qinghai University, 251 Ningda Road, Xining, 810003, China.
Junlong HuangCollege of Clinical Medicine, Qinghai University, 251 Ningda Road, Xining, 810003, China.
Hao ZhangCollege of Clinical Medicine, Qinghai University, 251 Ningda Road, Xining, 810003, China.
Shuzhuo ZhangCollege of Clinical Medicine, Qinghai University, 251 Ningda Road, Xining, 810003, China.
Honghao DaiCollege of Clinical Medicine, Qinghai University, 251 Ningda Road, Xining, 810003, China.
Yuexin JiangCollege of Clinical Medicine, Qinghai University, 251 Ningda Road, Xining, 810003, China.
Hongtao BiUniversity of Chinese Academy of Sciences, 19(A) Yuquan Road, Beijing, 10049, China. bihongtao@hotmail.com.
Zhongshu ShanDepartment of Orthopedic Surgery, People's Hospital of Qinghai Province, 2 Gonghe Road, Xining, 810007, China. zhongshu0320@163.com.

Funding

the Qinghai Provincial Central Government Guided Local Science and Technology Development Fund 2024ZY032
6 · The paper itself

Abstract

Spinal surgery in remote regions of China, including high-altitude plateau areas, faces unique challenges due to limited medical resources, harsh environmental conditions, and shortages of specialized expertise. Robotic spinal surgery and artificial intelligence (AI) technologies offer promising solutions to enhance diagnostic accuracy and support surgical decision-making in these underserved settings. Robotic-assisted systems enhance surgical precision and stability in procedures, such as pedicle screw placement, reducing error rates, and improving patient outcomes even when experienced surgeons are scarce. AI-driven diagnostic and planning tools can rapidly analyze medical images, identify spinal pathologies with expert-level accuracy, and assist in developing personalized surgical plans, effectively extending specialist-level support to local clinicians. The integration of these technologies helps bridge gaps in healthcare delivery by ensuring more timely, accurate diagnoses and safer, more effective spine surgeries for patients in remote areas. Implementing robotics and AI in high-altitude and rural environments, however, requires overcoming challenges. Continued research and development efforts are needed to tailor these systems to local needs, alongside training programs to develop skilled personnel. Looking ahead, the synergy of robotic surgery and AI in spine care represents a transformative direction for improving surgical outcomes and narrowing healthcare disparities in China's remote communities.

Indexed as

Artificial IntelligenceRobotic Surgical ProceduresSpinal DiseasesSpineChinaHumansArtificial intelligenceDigital healthcareIntelligent rehabilitationRemote areasRobot-assisted surgerySpinal surgeryTelemedicine

Identifiers

PMID40940589
PMCPMC12431945

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.