Evidence map›Paper›PMID 40634387›Full record

ArticleScientific reports2025

Advantages and effectiveness of AI three-dimensional reconstruction technology in the preoperative planning of total hip arthroplasty.

Shulin Li, Jilin Jiang, Jiahao Zhang, Laipeng Yan, Huiling Guo, Faqiang Tang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

6 authors.

Shulin Li *Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Jilin Jiang *College of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Jiahao ZhangShengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Laipeng YanShengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Huiling GuoShengli Clinical Medical College of Fujian Medical University, Fuzhou, China. ghl5910778@163.com.
Faqiang TangShengli Clinical Medical College of Fujian Medical University, Fuzhou, China. faqiangtang@fmu.edu.cn.

Funding

the Fujian Provincial Training Program for Young and Middle-aged Backbone Talents in Health and Health Care 2021GGA005the General Program of Fujian Provincial Natural Science Foundation 2022J01401the General Program of Fujian Provincial Natural Science Foundation 2024J011022the Starup Fund for Scientific Research of Fujian Medical University 2022QH1306
6 · The paper itself

Abstract

In order to explore the application effect of artificial intelligence (AI) 3D reconstruction technology in total hip arthroplasty (THA), this study included a total of 109 patients with unilateral femoral head ischemic necrosis. According to the preoperative planning method, they were divided into the AI group (n = 55) and the 2D group (n = 54). The operating time, intraoperative bleeding, length of hospital stay length, prosthesis conformity, imaging indicators and Harris scores. The complete conformity rates of the acetabular cup and femoral stem in the AI group (90.9% and 87.3%) were significantly higher than those in the 2D group (72.2% and 66.7%) (P < 0.05). The perioperative indicators of the AI group, such as operating time intraoperative bleeding volume and length of hospital stay were all better than those of the 2D group (P < 0.05). The AI group had significantly less postoperative leg length discrepancy (LLD) than the 2D group (P < 0.05). The Harris score at 1 month, 3 months and 6 months after surgery was significantly higher in the AI group than in the 2D group, and the difference was statistically significant (P < 0.05). Using AI 3D reconstruction technology to perform preoperative planning for patients scheduled to undergo THA can assist clinicians in completing the surgery more quickly and accurately, effectively control the patient's postoperative LLD, and also reduce intraoperative bleeding, shorten the patient's hospital stay, and accelerate the patient's postoperative functional recovery.

Indexed as

Arthroplasty, Replacement, HipArtificial IntelligenceFemur Head NecrosisImaging, Three-DimensionalAdultAgedFemaleHip ProsthesisHumansLength of StayMaleMiddle AgedOperative TimePreoperative CareTreatment Outcome

Identifiers

PMID40634387
PMCPMC12241515

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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.