Evidence map›Paper›PMID 40630780›Full record

ArticleJournal of orthodontic science2025

Assessment of AI-based monitoring method in assessing oral hygiene during orthodontic treatment.

Aseem Sharma, Tanushree Sharma, Geetika Tomer, Snigdha Pattanaik, Bhumika Khattar, N R Shrinivaasan, K Saidath, Monsoon Mishra, Varadarjula V Ram

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of orthodontic science, 2025. 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. Review
  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

9 authors.

Aseem SharmaAssociate Professor, Department of Orthodontics and Dentofacial Orthopedics, HIDS Paonta Sahib, Himachal Pradesh, India.
Tanushree SharmaAssistant Professor, Department of Dentistry, Shri Mata Vaishno Devi Institute of Medical Excellence (Medical College and Associated Hospital, (SMVDNSH), Kakryal, Jammu and Kashmir, India.
Geetika TomerDepartment of Orthodontics and Dentofacial Orthopedics, Faculty of Dental Sciences, SGT University, Gurugram, Haryana, India.
Snigdha PattanaikDepartment of Orthodontics, Paediatric and Community Dentistry, University of Sharjah, UAE.
Bhumika KhattarDepartment of Orthodontics and Dentofacial Orthopedics, JN Kapoor DAV Dental College, Yamuna Nagar, Haryana, India.
N R ShrinivaasanDepartment of Orthodontics and Dentofacial Orthopedics, Madha Dental College and Hospital, Chennai, Tamilnadu, India.
K SaidathDepartment of Orthodontics and Dentofacial Orthopaedics, NITTE (Deemed to be University) AB Shetty Memorial Institute of Dental Sciences (ABSMIDS), Mangalore, Karnataka, India.
Monsoon MishraDepartment of Oral Medicine and Radiology, Kalinga Institute of Dental Sciences, Bhubaneswar, Odisha, India.
Varadarjula V RamDepartment of Dental Hygiene, College of Applied Health Sciences, ArRass Qassim University, Qassim, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesPatients receiving orthodontic treatment should have their oral hygiene regularly maintained. Patients can improve their oral hygiene performance during orthodontic treatment with the use of remote digital monitoring. The current research was done to assess the AI-based monitoring method in improving oral hygiene during orthodontic procedure. METHODOLOGY: Forty patients scheduled for fixed orthodontic treatment were divided into two groups of 20 each as; Group A- Control group, Group B- Test group (AI monitoring). Patients in the test group received a cheek retractor and scan box (Dental Monitoring®) and were directed to undergo regular intraoral scans. Orthodontic Plaque Index (OPI), Marginal Gingival Index (MGI), and White Spot Lesions (WSL) evaluated for both groups at baseline period (P0), after 2 weeks, 4 weeks and 6 weeks as P1, P2, P3, respectively, and at 3 months (P4). The obtained data was statistically analyzed.

resultIn comparison to the control group, test group subjects demonstrated a substantial decrease in plaque score, gingival inflammation and White Spot Lesions (WSL).

conclusionDuring orthodontic treatment, integrating a remote monitoring system improves plaque, gingival inflammation, and white spot lesions. This method helps patients to retain their best possible oral health.

Indexed as

Artificial intelligenceoral hygieneorthodontic treatmentremote monitoringwhite spot lesions

Identifiers

PMID40630780
PMCPMC12237006

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.