Evidence mapPaperPMID 40422618Full record

ReviewDentistry journal2025

AI-Driven Advancements in Orthodontics for Precision and Patient Outcomes.

David B Olawade, Navami Leena, Eghosasere Egbon, Jeniya Rai, Aysha P E K Mohammed, Bankole I Oladapo, Stergios Boussios

Abstract readReview
In one paragraph

Review in Dentistry journal, 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.

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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

7 authors.

David B OlawadeDepartment of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London E16 2RD, UK.ORCID 0000-0003-0188-9836
Navami LeenaFaculty of Public Health and Healthcare Management, Westford University College, Sharjah 50325, United Arab Emirates.
Eghosasere EgbonDepartment of Tissue Engineering and Regenerative Medicine, Faculty of Life Science Engineering, FH Technikum, 1200 Vienna, Austria.
Jeniya RaiDepartment of Public Health, York St John University, London E14 2BA, UK.ORCID 0009-0003-3740-7330
Aysha P E K MohammedSchool of Health and Care Management, Arden University, Arden House, Middlemarch Park, Coventry CV3 4FJ, UK.
Bankole I OladapoSchool of Science and Engineering, University of Dundee, Dundee DD1 4HN, UK.
Stergios BoussiosDepartment of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial Intelligence (AI) is rapidly transforming orthodontic care by providing personalized treatment plans that enhance precision and efficiency. This narrative review explores the current applications of AI in orthodontics, particularly its role in predicting tooth movement, fabricating custom aligners, optimizing treatment times, and offering real-time patient monitoring. AI's ability to analyze large datasets of dental records, X-rays, and 3D scans allows for highly individualized treatment plans, improving both clinical outcomes and patient satisfaction. AI-driven aligners and braces are designed to apply optimal forces to teeth, reducing treatment time and discomfort. Additionally, AI-powered remote monitoring tools enable patients to check their progress from home, decreasing the need for in-person visits and making orthodontic care more accessible. The review also highlights future prospects, such as the integration of AI with robotics for performing orthodontic procedures, predictive orthodontics for early intervention, and the use of 3D printing technologies to fabricate orthodontic devices in real-time. While AI offers tremendous potential, challenges remain in areas such as data privacy, algorithmic bias, and the cost of adopting AI technologies. However, as AI continues to evolve, its capacity to revolutionize orthodontic care will likely lead to more streamlined, patient-centered, and effective treatments. This review underscores the transformative role of AI in modern orthodontics and its promising future in advancing dental care.

Indexed as

aligner fabricationartificial intelligencedental carepersonalized orthodonticsremote monitoringtooth movement prediction

Identifiers

PMID40422618
PMCPMC12110745

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.