Evidence map›Paper›PMID 42662016›Full record

ArticleBioinformation2026

Assessment of dentists' knowledge, attitude and practice regarding artificial intelligence in periodontics.

S H Bharathi, B Mohammed Ismail, K Hanumantha Kumar, K Sadananda, B Radhika, Shweta Halemani

Abstract read
In one paragraph

Article in Bioinformation, 2026. 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

6 authors.

S H BharathiDepartment of periodontics, Government Dental College and Research Institute, Ballari Medical College and Research Centre, Ballari, Karnataka, India.
B Mohammed IsmailDepartment of periodontics, Government Dental College and Research Institute, Ballari Medical College and Research Centre, Ballari, Karnataka, India.
K Hanumantha KumarDepartment of periodontics, Government Dental College and Research Institute, Ballari Medical College and Research Centre, Ballari, Karnataka, India.
K SadanandaDepartment of periodontics, Government Dental College and Research Institute, Ballari Medical College and Research Centre, Ballari, Karnataka, India.
B RadhikaDepartment of periodontics, Government Dental College and Research Institute, Ballari Medical College and Research Centre, Ballari, Karnataka, India.
Shweta HalemaniDepartment of periodontics, Government Dental College and Research Institute, Ballari Medical College and Research Centre, Ballari, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence is rapidly transforming periodontal diagnosis, treatment planning and patient management; however, its adoption among dental professionals remains limited. Therefore, it is of interest to evaluate the knowledge, attitude and practice of dentists regarding artificial intelligence in periodontics among 800 participants recruited through stratified random sampling from January to June 2024. Data were collected using a structured, pre-validated questionnaire and analyzed using descriptive statistics, chi-square test and ANOVA. Although 75% of participants were aware of artificial intelligence and 80% expressed willingness to adopt it, only 25% reported its actual use in clinical practice, with concerns regarding data privacy and professional displacement noted in 40% of respondents. A significant gap exists between positive perception and clinical implementation, highlighting the need for targeted education, ethical guidelines and improved accessibility to artificial intelligence technologies in periodontics.

Indexed as

Artificial intelligence (AI)attitudedental educationdigital dentistryknowledgeperiodonticspractice

Identifiers

PMID42662016
PMCPMC13519449

What OpenQuestion holds

Textmetadata
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.