Evidence map›Paper›PMID 41116930›Full record

ReviewCureus2025

Tech-Tuned Smiles: A Narrative Review on the Role of Software in Modern Orthodontics.

Akshay Puthenpurayil, Rahul D Prabha, Sapna Varma N K, Ajith Vallikat Velath

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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

4 authors.

Akshay PuthenpurayilOrthodontics and Dentofacial Orthopedics, Amrita School of Dentistry, Amrita Institute of Medical Sciences, Kochi, IND.
Rahul D PrabhaOrthodontics and Dentofacial Orthopedics, Amrita School of Dentistry, Amrita Institute of Medical Sciences, Kochi, IND.
Sapna Varma N KOrthodontics and Dentofacial Orthopedics, Amrita School of Dentistry, Amrita Institute of Medical Sciences, Kochi, IND.
Ajith Vallikat VelathOrthodontics and Dentofacial Orthopedics, Amrita School of Dentistry, Amrita Institute of Medical Sciences, Kochi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital orthodontic treatment has revolutionized modern orthodontics by integrating advanced software solutions into diagnosis, treatment planning, and appliance fabrication. These software systems optimize clinical workflows, increase accuracy, and enhance patient outcomes. These include 3D imaging tools for capturing intraoral scans, cephalometric analysis for precise measurements, and computer-aided design/computer-aided manufacturing (CAD/CAM) technologies for custom orthodontic appliances and software for predicting tooth movement and customizing aligner sequences, allowing virtual treatment simulations to visualize outcomes, and boosting confidence and compliance. Intraoral scanners capture digital models quickly, replacing traditional impressions, saving time and improving comfort. Moreover, automated patient management tools track progress and send reminders, keeping treatments on schedule. Despite these advantages, the high costs of software, the learning curve for practitioners, and the need for constant updates can be challenging. This abstract provides an overview of digital orthodontic software's pivotal role in advancing personalized, efficient, and precise orthodontic care.

Indexed as

artificial intelligence (ai)automatic planningdigital dentistrydigital orthodonticsdigital software

Identifiers

PMID41116930
PMCPMC12535691

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.