Evidence map›Paper›PMID 41425124›Full record

ArticleClinical case reports2025

Optimizing Ridge Augmentation With AI-Generated Models: A Case Report With Technical Note.

Vasilios Alevizakos, Stephan Knörzer, Roman Krammer, Marcus Schiller, Constantin von See

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical case reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Vasilios AlevizakosResearch Centre for Digital Technologies in Dentistry and CAD/CAM Danube Private University Krems Austria.ORCID https://orcid.org/0000-0002-3541-5404
Stephan KnörzerOral Surgery Private Practice-Dr. Krammer and Colleagues Amberg Germany.
Roman KrammerOral Surgery Private Practice-Dr. Krammer and Colleagues Amberg Germany.
Marcus SchillerOral and Maxillofacial Surgery Medical School Hannover Hanover Germany.
Constantin von SeeResearch Centre for Digital Technologies in Dentistry and CAD/CAM Danube Private University Krems Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AI-generated 3D models in ridge augmentation improve surgical accuracy, reduce bone exposure, and enhance patient understanding through visual planning. They support, but do not replace, clinical expertise. Ongoing validation, staff training, and ethical oversight are essential to ensure safe, effective, and equitable implementation in daily practice.

Indexed as

alveolar ridge augmentationartificial intelligencecone beam computed tomographydental implantsthree‐dimensional printing

Identifiers

PMID41425124
PMCPMC12715693

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.