Evidence map›Paper›PMID 40655565›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Evaluating the Potential of ChatGPT as a Supplementary Intelligent Virtual Assistant in Periodontology.

Bhawna Shyamsukha, Hiroj Bagde, Aniket Sharan, Megha Choudhary, Aishwarya Duble, Aadarsh V Dhan

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Bhawna ShyamsukhaDepartment of Periodontology, Chhattisgarh Dental College and Research Institute, Rajnandgaon, Chhattisgarh, India.
Hiroj BagdeDepartment of Periodontology, Chhattisgarh Dental College and Research Institute, Rajnandgaon, Chhattisgarh, India.
Aniket SharanDepartment of Periodontology, Chhattisgarh Dental College and Research Institute, Rajnandgaon, Chhattisgarh, India.
Megha ChoudharyDepartment of Periodontology, Chhattisgarh Dental College and Research Institute, Rajnandgaon, Chhattisgarh, India.
Aishwarya DubleDepartment of Periodontology, Chhattisgarh Dental College and Research Institute, Rajnandgaon, Chhattisgarh, India.
Aadarsh V DhanDepartment of Periodontology, Chhattisgarh Dental College and Research Institute, Rajnandgaon, Chhattisgarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In many fields, Artificial Intelligence (AI) has brought about paradigm change by enabling computer systems to do activities that were previously limited to human participation. Objectives: The study's primary focus is to evaluate responses generated through Chat-Generative Pre-Trained Transformer (ChatGPT) when faced with diverse queries and prompts. It also places a strong emphasis on assessing the accuracy or correctness of ChatGPT's answers. Methodology: The research will employ an online questionnaire designed to collect and analyze information. This survey, comprising 10 periodontology-related questions, will be sent to 30 periodontists. Each question will be presented individually to ChatGPT-3.5 using the new chat option, and the resulting responses will be systematically recorded in an Excel spreadsheet. Expert evaluation of ChatGPT-3.5's responses will be conducted by a specialist in the field of periodontology. The assessment will employ a three-point Likert scale. Results: ChatGPT provided valuable assistance in answering periodontology-related questions with a high degree of accuracy, demonstrating its potential as a useful tool. Conclusion: The study concludes that ChatGPT holds promise as a reliable resource for providing accurate information in the field of periodontology, benefiting both practitioners and researchers.

Indexed as

Artificial IntelligenceChatGPTperiodontology

Identifiers

PMID40655565
PMCPMC12244711

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.