NCT06496152

Brief Summary

The aim of this study will be to assess knowledge, attitudes, and perceptions towards Artificial intelligence among dental students of Faculty of Dentistry, Tanta University

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
371

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Aug 2024

Shorter than P25 for all trials

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 3, 2024

Completed
8 days until next milestone

First Posted

Study publicly available on registry

July 11, 2024

Completed
21 days until next milestone

Study Start

First participant enrolled

August 1, 2024

Completed
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2024

Completed
1 day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 2, 2024

Completed
Last Updated

July 11, 2024

Status Verified

July 1, 2024

Enrollment Period

1 month

First QC Date

July 3, 2024

Last Update Submit

July 10, 2024

Conditions

Outcome Measures

Primary Outcomes (1)

  • The online form by questionnaire

    Knowledge, Attitude, and Perceptions Towards Artificial Intelligence Among Dental Students

    Two months

Interventions

online form used to collect all information used in questionnaire

Eligibility Criteria

Age18 Years - 24 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)
Sampling MethodNon-Probability Sample
Study Population

A cross-sectional study will be adopted using an online-based questionnaire that will be sent to dental students in the Faculty of Dentistry, Tanta University. The link of the survey will be created using Microsoft form and will be disseminated through various open social media groups of dental students

You may qualify if:

  • all dental students of Faculty of Dentistry, Tanta University

You may not qualify if:

  • The postgraduate students

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (1)

  • Aldowah O, Almakrami A, Alghuwaynim Y, Alhutaylah M, Almansour A, Alswedan A, Alshahrani F, Alqarni S, Alkasi Y. Perceptions and Knowledge of Undergraduate Dental Students about Artificial Intelligence in Dental Schools: A Cross-sectional Study. J Contemp Dent Pract. 2024 Feb 1;25(2):148-155. doi: 10.5005/jp-journals-10024-3633.

    PMID: 38514412BACKGROUND

MeSH Terms

Interventions

Surveys and Questionnaires

Intervention Hierarchy (Ancestors)

Data CollectionEpidemiologic MethodsInvestigative TechniquesHealth Care Evaluation MechanismsQuality of Health CareHealth Care Quality, Access, and EvaluationPublic HealthEnvironment and Public Health

Central Study Contacts

AlShimaa Elsandoby, Assistant Lecturer

CONTACT

Ahmed El Dosoky, Assistant Professor

CONTACT

Study Design

Study Type
observational
Observational Model
ECOLOGIC OR COMMUNITY
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Lecturer of Oral health and Preventive Dentistry, Faculty of Dentistry, Tanta University

Study Record Dates

First Submitted

July 3, 2024

First Posted

July 11, 2024

Study Start

August 1, 2024

Primary Completion

September 1, 2024

Study Completion

September 2, 2024

Last Updated

July 11, 2024

Record last verified: 2024-07