Evidence map›Paper›PMID 41960509›Full record

ArticleBioinformation2026

The transformative impact of artificial intelligence on periodontal care: A review.

Jaideep Mahendra, Devadharshini Chandrasekar, Roshini Govindarajan, Pavithra H Dave, Sajid T Hussain, Muskan Bedi

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.

Jaideep MahendraDepartment of Periodontics, Meenakshi Ammal Dental College and Hospital, Meenakshi Academy of Higher Education and Research, Chennai, Tamil Nadu, India.
Devadharshini ChandrasekarDepartment of Periodontics, Meenakshi Ammal Dental College and Hospital, Meenakshi Academy of Higher Education and Research, Chennai, Tamil Nadu, India.
Roshini GovindarajanDepartment of Periodontics, Meenakshi Ammal Dental College and Hospital, Meenakshi Academy of Higher Education and Research, Chennai, Tamil Nadu, India.
Pavithra H DaveDepartment of Periodontics, Meenakshi Ammal Dental College and Hospital, Meenakshi Academy of Higher Education and Research, Chennai, Tamil Nadu, India.
Sajid T HussainDepartment of Periodontology and Implantology, Bharath University, Sree Balaji Dental College and Hospital, Chennai, Tamil Nadu, India.
Muskan BediDepartment of Medicine, Sri Ramachandra Medical College and Research Institute, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is emerging as a transformative force in periodontal care, reshaping traditional diagnostic, preventive and therapeutic paradigms. Recent advances in algorithms, computational power and access to large-scale digital datasets have enabled the development of sophisticated AI and machine learning (ML) models capable of analyzing complex clinical, radiographic and biological data. These technologies support clinicians in early diagnosis, risk assessment, personalized treatment planning and prediction of disease progression. By integrating AI-driven analytics with the principles of evidence-based dentistry (EBD), periodontal care is transitioning toward more precise, efficient and patient-centered approaches. Thus, we show the evolution of AI in periodontology, its current and emerging clinical applications and its potential to enhance decision-making, optimize outcomes and redefine the future landscape of periodontal practice.

Indexed as

Artificial intelligence (AI)dental careelectronic brainmachine learningneural network

Identifiers

PMID41960509
PMCPMC13058324

What OpenQuestion holds

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LicenceCC BY
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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.