Evidence map›Paper›PMID 41916711›Full record

ArticleHua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology2026

[Assistance and breakthrough of digitalization and intelligent digitalization in implant restoration of edentulous jaws].

Yue Sa, Yingqi Cai, Yitong Sun, Mingyu Zhao, Shici Xia

Abstract readEnglish Abstract
In one paragraph

Article in Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yue SaState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
Yingqi CaiState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
Yitong SunState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
Mingyu ZhaoState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
Shici XiaState Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital and intelligent digital technologies can help optimize the clinical workflow of edentulous jaw implant restoration, significantly improving precision, predictability, and efficiency throughout all stages of treatment. In the preoperative phase, by acquiring the patient's digital information model and integrating data with the assistance of an artificial intelligence-driven planning system, personalized design of implant positions and prosthesis morphologies can be achieved, thereby realizing accurate functional and aesthetic matching. During the surgical procedure, the adoption of static implant guides, dynamic navigation systems, or implant robotic systems can effectively enhance surgical precision and minimize patient trauma to the greatest extent. In the immediate and final restoration phases, digital impression technology based on intraoral and extraoral scanning systems enables accurate acquisition of information regarding implants, as well as hard and soft tissues related to edentulous jaw implantation. Among these technologies, the application of AI-assisted algorithms and modified intraoral scan bodies can further improve patient comfort and chairside work efficiency. When encountering metal restoration artifact interference, the use of artifact correction algorithms or methods to increase identifiable marker points can both enhance the fitting precision of virtual data, reduce the impact of metal artifacts on data matching, and provide more reliable data support for digital preoperative planning. For complex edentulous cases, such as pterygoid implant placement, implant robotic systems based on digital three-dimensional modeling enable high-precision implantation with intraoperative dynamic calibration, thereby improving prosthetic predictability. Although challenges remain in data interoperability and standardization of clinical protocols, the integration of unified data standards, comprehensive intelligent platforms, and standardized workflows may facilitate the standardized and intelligent application of digital technologies in edentulous implant rehabilitation. It is foreseeable that in the future, digital and intelligent digital technologies will continue to drive the development of the edentulous jaw implant restoration field, providing patients with more high-quality, efficient, and safe implant restoration solutions.

Indexed as

Dental ImplantsJaw, EdentulousArtificial IntelligenceDigital HealthHumansIntelligent SystemsSurgery, Computer-AssistedDental Implantsdental implant robotdigitalizationdynamic navigationedentulous jawguideimplantintelligent digitalization

Identifiers

PMID41916711
PMCPMC13047865

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Registered trials

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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.