Evidence map›Paper›PMID 40655775›Full record

ArticleJournal of pharmacy & bioallied sciences2025

An Interdisciplinary Role of Artificial Intelligence (AI) in Dentistry: A Focus on Endodontics, Oral Pathology, Prosthodontics, Orthodontics, and Periodontics.

Shweta Vijaykumar Sagare, Pratiksha Kumar, Rashmita Nayak, Ashtha Arya, Akshata Patil, Maninderjit Kaur, Geetpriya Kaur

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 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. Article
  2. Article
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

7 authors.

Shweta Vijaykumar SagareDepartment of Conservative Dentistry and Endodontics, BharatiVidyapeeth (Deemed to be University), Dental College and Hospital, Sangli, Maharashtra, India.
Pratiksha KumarDepartment of Oral Pathology and Microbiology, Government College of Dentistry, Indore, Madhya Pradesh, India.
Rashmita NayakDepartment of Periodontics and Oral Implantology, Institute of Dental Sciences, Siksha'O'Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India.
Ashtha AryaDepartment of Conservative Dentistry and Endodontics, SGT Dental College, Hospital and Research Institute, SGT University, Gurugram, Haryana, India.
Akshata PatilDepartment of Conservative Dentistry and Endodontics, Karnataka, India.
Maninderjit KaurPrivate Practitioner, BDS, Department of General Dentistry, Punjab, India.
Geetpriya KaurPrivate Practitioner, Department of Oral Pathology and Microbiology Director Paradise Diagnostic, Gujranwala Town, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence (AI) has emerged as a transformative tool in modern dentistry, enhancing diagnosis, treatment planning, and patient outcomes. Materials and Methods: This study explores AI applications across five dental specialties-endodontics, oral pathology, prosthodontics, orthodontics, and periodontics-using a structured questionnaire distributed to 500 dental professionals. Results: Results were synthesized into statistical analyses to assess AI's impact on clinical efficiency, diagnostic accuracy, and patient satisfaction. Conclusion: The study concludes with insights into AI's interdisciplinary role in dentistry and potential future advancements.

Indexed as

Artificial intelligenceclinical efficiencydiagnostic accuracydigital dentistryendodonticsmachine learningoral pathologyorthodonticspatient satisfactionperiodonticsprosthodontics

Identifiers

PMID40655775
PMCPMC12244738

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.