Evidence map›Paper›PMID 40104469›Full record

ArticleCureus2025

Comparative Assessment of the Knowledge, Awareness, and Practices Regarding an Artificial Intelligence Tool (Chat Generative Pre-trained Transformer or ChatGPT) Among Dental Undergraduate and Postgraduate Students and the Teaching Faculty.

Sameer A Zope, Sayali S Dongare, Girish Suragimath, Siddhartha Varma, Apurva V Kale

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Educational Applications of ChatGPT in University-Based Dental Education. A Systematic Review.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026
    Pooled it
  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

5 authors.

Sameer A ZopeDepartment of Periodontology, School of Dental Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.
Sayali S DongareDepartment of Periodontology, School of Dental Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.
Girish SuragimathDepartment of Periodontology, School of Dental Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.
Siddhartha VarmaDepartment of Periodontology, School of Dental Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.
Apurva V KaleDepartment of Periodontology, School of Dental Sciences, Krishna Vishwa Vidyapeeth (Deemed To Be University), Karad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Artificial Intelligence (AI) is transforming dentistry by enhancing diagnostics, treatment planning, and education. Chat Generative Pre-trained Transformer (ChatGPT), a conversational AI, offers the potential for improving communication, academic learning, and clinical decision-making. However, challenges like data privacy, ethical implications, and limited validation remain. This study evaluated the knowledge, awareness, and practices regarding ChatGPT among dental students and the teaching faculty in Maharashtra, India. Methods A cross-sectional study was conducted among 384 participants: 161 undergraduates, 138 postgraduates, and 85 members of the teaching faculty. A pre-validated, closed-ended questionnaire with 22 questions assessed their knowledge, awareness, and practices regarding ChatGPT. Data were collected via Google Forms and analyzed using Pearson's chi-squared test, with p<0.05 considered significant. Results A total of 384 participants, including undergraduates (n=161), postgraduates (n=138), and members of the teaching faculty (n=85), were surveyed about their knowledge, awareness, and use of ChatGPT in dentistry. The majority (87.2%) recognized ChatGPT as an AI-based neural network and were aware of its role in guiding patients and assisting in clinical decision-making. Postgraduates showed the highest knowledge and acceptance. Concerns about data privacy were prominent, especially among the teaching faculty (91.8%). Postgraduates frequently used ChatGPT for additional dental information and as a knowledge repository. However, faculty members were less likely to use ChatGPT for presentations, with significant differences observed across groups (P<0.05). Conclusion ChatGPT is gaining recognition for its diverse applications in dentistry, with the teaching faculty demonstrating increased awareness and postgraduate students demonstrating better knowledge and greater practical use. Integrating AI into dental education and developing targeted training programs can enhance its role in advancing education, research, and patient care.

Indexed as

artificial intelligencechatgptdental educationdentistryneural network

Identifiers

PMID40104469
PMCPMC11914850

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.