Evidence map›Paper›PMID 40399892›Full record

ArticleBMC oral health2025

Knowledge, perception, and attitude of Egyptian dental students toward the role of robotics and artificial intelligence in dental practices - a cross-sectional study.

Naglaa Ezzeldin, Aya A Salama, Karim A Shehab

Abstract read
In one paragraph

Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Naglaa EzzeldinPediatric Dentistry, Faculty of Dentistry, October University for Modern Sciences and Arts, Cairo, Egypt. niezz@msa.edu.eg.
Aya A SalamaFixed Prosthodontics, Faculty of Dentistry, October University for Modern Sciences and Arts, Cairo, Egypt.
Karim A ShehabDepartment of Preventive Dental Sciences, College of Dentistry, Gulf Medical University, Ajman, UAE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid technological progress has made robotics (R) and artificial intelligence (AI) essential components of our everyday existence. In addition, robots designed for dental applications have been created. This study aimed to assess Egyptian dental students' Knowledge, perception, and attitude toward the role of robotics and AI in dental practices.

methodsA cross-sectional questionnaire-based study was conducted involving 204 Egyptian students from the Faculty of Dentistry at October University for Modern Sciences and Arts. The electronic link to the questionnaire was created using Google Forms and distributed to the students via email. The questionnaire included 26 questions that assessed the students' knowledge, perception, and attitude toward the role of R and AI in Dentistry.

resultsA total of 85.8% of students were familiar with the concepts of R and AI. Among them, 66.2% demonstrated a good understanding of the applications of R and AI in dentistry, while 59.3% showed a positive attitude towards these technologies. Dental students perceived the use of R and AI favorably, particularly in dental implants and CAD/CAM technologies, with 80.6% and 82.3% expressing approval, respectively. However, 66.9% opposed the idea of replacing dentists with these technologies. Additionally, 75% expressed a desire to learn more about R and AI in the future.

conclusionsDental students possess a good understanding of and positive attitudes toward the use of R and AI in diagnosis and interpretation. They believe that AI can play an active role in various aspects of dental practice. However, they express uncertainty about the possibility of AI and robotics replacing dentists.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelHealth Knowledge, Attitudes, PracticeRoboticsStudents, DentalAdultCross-Sectional StudiesEgyptFemaleHumansMaleSurveys and QuestionnairesYoung AdultArtificial intelligenceDentistryKnowledgeRobotUndergraduate

Identifiers

PMID40399892
PMCPMC12093707

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.