Evidence mapPaperPMID 41899794Full record

ReviewBioengineering (Basel, Switzerland)2026

Present and Future of the Use of Artificial Intelligence in Orthodontics.

Ilaria Tucci, Elena Gimondo, Elena Jovanova, Angela Angjelova, Gaetano Isola, Cristina Grippaudo

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Ilaria TucciDipartimento Universitario Testa Collo ed Organi di Senso, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0009-0009-9378-5743
Elena GimondoDipartimento Universitario Testa Collo ed Organi di Senso, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Elena JovanovaDepartment of General Surgery and Surgical-Medical Specialties, Unit of Periodontology, School of Dentistry, University of Catania, 95123 Catania, Italy.
Angela AngjelovaDepartment of General Surgery and Surgical-Medical Specialties, Unit of Periodontology, School of Dentistry, University of Catania, 95123 Catania, Italy.ORCID 0009-0008-3231-0704
Gaetano IsolaDepartment of General Surgery and Surgical-Medical Specialties, Unit of Periodontology, School of Dentistry, University of Catania, 95123 Catania, Italy.ORCID 0000-0003-4267-6992
Cristina GrippaudoDipartimento Universitario Testa Collo ed Organi di Senso, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0002-9499-0556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) has penetrated many aspects of orthodontic clinical practice over the past decade. This narrative review aims to highlight all the areas where AI has already entered clinical routine and how it can further improve orthodontic practice in the future. AI is present in diagnostic procedures, facilitating record keeping and supporting the study of patient radiographic and photographic image characteristics. It also underpins the creation and analysis of digital impressions. AI has also become part of patient communication processes, helping to share treatment decisions and facilitating treatment monitoring. Technology and the availability of clinical data also enable the use of AI in diagnostic processes. Currently, clinicians must evaluate AI-provided clinical suggestions before accepting them, as is the case with clear aligner treatments, for example. Research on AI in dentistry, reported in this article, promises to increase the precision of diagnostic measurements and facilitate clinicians' treatment decisions.

Indexed as

artificial intelligencecompliancediagnosisorthodonticstherapy

Identifiers

PMID41899794
PMCPMC13023893

What Socratic 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 Socratic graph.