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Knowledge, Attitudes, And Perceptions of a Group of Egyptian Dental Students Towards Artificial Intelligence

Knowledge, Attitudes, And Perceptions of a Group of Egyptian Dental Students Towards Artificial Intelligence: A Cross-sectional Study

Status
Enrolling by invitation
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06348758
Acronym
AIKnowledge
Enrollment
384
Registered
2024-04-05
Start date
2024-02-11
Completion date
2024-08-07
Last updated
2024-04-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Knowledge, Attitudes, Practice

Brief summary

In the context of this ongoing AI revolution, it is essential to ensure that current and future clinical practitioners are up to date regarding this technology's current state and potential. It is valuable to assess the current attitude of clinical dentists and undergraduate students in dentistry regarding the future role of AI. To the best of the author's knowledge, there is no study about Egyptian dental students' views and attitudes regarding the application of AI in dental practice. Therefore, this study aimed to evaluate the attitudes and perceptions of a group of dental students in Egypt towards AI.

Detailed description

Data will be collected using a questionnaire. The survey will be distributed to dental students at the Faculty of Dentistry, Cairo, and Egyptian Russian universities through Google Forms. The questionnaire comprised 3 sections and 22 questions. The survey consisted of a question on demographics and educational information about dental students, knowledge of and attitudes towards AI, future application areas of AI in dentistry, and topics of AI in dental education. The first part of the survey. Informed consent will be obtained from all the participants before completing the questionnaire.

Interventions

OTHERquestionnaire

E-Questionnaire will be sent to the students

Sponsors

Cairo University
Lead SponsorOTHER

Study design

Observational model
ECOLOGIC_OR_COMMUNITY
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 25 Years

Inclusion criteria

\- Dental students

Exclusion criteria

* Graduates

Design outcomes

Primary

MeasureTime frameDescription
knowledge, attitudes, and perceptions about artificial intelligence in Dentistryup to 6 monthsquestionnaire

Countries

Egypt

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026