Evidence map›Paper›PMID 40511135›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Study Among Dentists of Udaipur Regarding their Awareness Among Artificial Intelligence in Oral Medicine and Radiology: A Cross-Sectional Study.

Chirag R Thakkar, Saurabh Goel, Kavita Verma, Saloni, Prerna Sharma, Barkha Makhijani

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. 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

6 authors.

Chirag R ThakkarDepartment of Oral Medicine and Radiology, Pacific Dental College and Research Centre, Bhillo Ka Bedla, Udaipur, Rajasthan, India.
Saurabh GoelDepartment of Oral Medicine and Radiology, Pacific Dental College and Research Centre, Bhillo Ka Bedla, Udaipur, Rajasthan, India.
Kavita VermaDepartment of Oral Medicine and Radiology, Pacific Dental College and Research Centre, Bhillo Ka Bedla, Udaipur, Rajasthan, India.
SaloniDepartment of Oral Medicine and Radiology, Pacific Dental College and Research Centre, Bhillo Ka Bedla, Udaipur, Rajasthan, India.
Prerna SharmaDepartment of Oral Medicine and Radiology, Pacific Dental College and Research Centre, Bhillo Ka Bedla, Udaipur, Rajasthan, India.
Barkha MakhijaniDepartment of Periodontology and Implantology, Pacific Dental College and Research Centre, Bhillo Ka Bedla, Udaipur, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To improve practice and educate patients about artificial intelligence (AI), clinicians must be knowledgeable and conscious of the technology. Aim: To evaluate Udaipur dentists' and dental students' understanding, attitudes, and perceptions of potential AI applications in the field of OMR. Materials and Methods: Five hundred dental professionals and students participated in a survey that used fifteen questions. Results: Eighty-eight percent of the 440 participants knew something about AI, and eighty-one percent knew how it operated. Conclusion: AI and its possible uses in radiology and oral medicine were well-known to dental professionals and students.

Indexed as

Artificial intelligenceknowledgeperception

Identifiers

PMID40511135
PMCPMC12156596

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.