Evidence map›Paper›PMID 42325700›Full record

ReviewInternational journal of dentistry2026

Integration of Digital Twin Technology in Orthodontics: A Scoping Review.

Isha Bhardwaj, Nidhin Philip Jose, Supriya Nambiar, Dhruv Ahuja, Shushma Rao, Sabarinath Prasad

Abstract readReview
In one paragraph

Review in International journal of dentistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Isha BhardwajDepartment of Orthodontics and Dentofacial Orthopaedics, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India, manipal.edu.ORCID https://orcid.org/0009-0009-8512-5307
Nidhin Philip JoseDepartment of Orthodontics and Dentofacial Orthopaedics, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India, manipal.edu.ORCID https://orcid.org/0000-0002-4814-9432
Supriya NambiarDepartment of Orthodontics and Dentofacial Orthopaedics, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India, manipal.edu.ORCID https://orcid.org/0000-0002-8778-1772
Dhruv AhujaDepartment of Orthodontics and Dentofacial Orthopaedics, Manav Rachna Dental College, Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, Haryana, India, mrdc.ac.in.ORCID https://orcid.org/0000-0001-8671-0756
Shushma RaoDepartment of Public Health Dentistry, Manipal College of Dental Sciences Mangalore, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India, manipal.edu.ORCID https://orcid.org/0000-0002-0855-0846
Sabarinath PrasadDepartment of Orthodontics and Dentofacial Orthopaedics, Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Dubai, UAE, mbruniversity.ac.ae.ORCID https://orcid.org/0000-0001-6509-2055

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital twin technology (DTT) is an emerging concept in healthcare enabling real-time patient and process simulations and predictive analytics that enhance personalized treatment and clinical decision-making. Orthodontics, being a comprehensive subject involving technicalities associated with diagnosis and treatment planning, the specific role of DTT, remains underexplored. This gap presents a crucial opportunity to harness its power to create dynamic virtual models for truly personalized and data-driven care. Objective: The objective is to map the extent and type of evidence available on the applicability of DTT in orthodontics, including its advantages, challenges, implementation in clinical settings, and perspective trends. Methods: A review synthesis for relevant articles published between 2005 and April 2025 in the English language was conducted across electronic databases including PubMed, Scopus, Embase, and Web of Science. Studies meeting the predefined eligibility criteria were included, and data relating to the applicability of digital twins (DTs) in orthodontics were assessed. To identify trends and inconsistencies in the existing literature, data extraction and synthesis of the findings were performed following the Joanna Briggs Institute (JBI) methodology. Results: This scoping review has collated a consolidated view of research investigating the applicability of the DTs in orthodontics specifically. Nine studies were identified that mapped applications of this technology in orthodontics, which are currently limited yet diverse, ranging from static craniofacial twins built from cone beam computed tomography (CBCT) to multimodal ones combining CBCT, intraoral scanner (IOS), and facial scans for more detailed analysis. The elaborate theoretical foundation available for this technology in other sectors has the potential to be executed in orthodontics to revolutionize the field. Conclusions: DTT exhibits immense potential and clinical significance in the field of orthodontics and dentofacial orthopedics in the nearing future to ultimately enhance the accuracy and efficiency of diagnosis and treatment like never before, improving overall experience for the clinicians, students, and the patients.

Indexed as

artificial intelligencemalocclusionorthodontistpersonalized medicine

Identifiers

PMID42325700
PMCPMC13282684

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.