Use of Artificial Intelligence in Oral Radiology: A Multicenter Cross-Sectional Study in Egypt

April 1, 2025 updated by: Nora Saif Taha, Cairo University
The survey aims to assess knowledge and perceptions of AI applications in dental imaging among Egyptian dentists. It also aims to identify the needs and challenges of implementing this transformative technology into education, training, and clinical practice.

Study Overview

Detailed Description

Artificial Intelligence (AI) is advancing rapidly in the field of dentistry, particularly in diagnostic imaging. These AI-based tools are aiding dentists by making it easier to detect important structures and identify health issues with greater accuracy. Dentists around the world, including those in Egypt, are gradually integrating AI into oral radiology. However, the successful use of AI depends heavily on the dentists being aware and prepared to use it effectively. The Egyptian government is very keen on incorporating AI into healthcare and has developed programs like the National Artificial Intelligence Strategy to promote its use. Despite these efforts, research on Egyptian dentists' comprehension and views about AI in oral radiology is still limited. The study seeks to evaluate Egyptian dentists' knowledge about AI and to uncover the primary obstacles that prevent them from utilizing AI effectively in clinical settings.

A cross-sectional survey was conducted online among Egyptian dentists. The questionnaire aimed to assess their knowledge, attitudes, and perceived challenges related to AI in oral radiology. Dentists were recruited through academic institutions, professional organizations, and social media platforms. To identify factors influencing respondents' knowledge about AI, a logistic regression analysis was applied.

Study Type

Observational

Enrollment (Actual)

1326

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Cairo, Egypt
        • Faculty of Dentistry, Cairo University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Faculty members and postgraduate dental students at the Faculty of Dentistry, Cairo University, as well as members of the Egyptian Maxillofacial Radiology Alliance from various academic dental institutions across Egypt, including Alexandria University, Ain Shams University, Al-Azhar University, Beni-Suef University, Misr International University, Future University in Egypt, Misr University for Science and Technology, and British University in Egypt. Additionally, social media platforms were utilized to engage members of other Egyptian dental societies.

Description

Inclusion Criteria:

  • graduated dentists with a bachelor's or higher degree from Egyptian universities who practiced in Egypt.

Exclusion Criteria:

  • Undergraduate students and dentists who obtained their undergraduate qualification abroad or practiced outside Egypt were excluded.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Assessment of the reported level of knowledge of AI applications in dental imaging using a standardized questionnaire
Time Frame: through study completion, an average of 1 year
through study completion, an average of 1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 13, 2024

Primary Completion (Actual)

August 31, 2024

Study Completion (Actual)

January 29, 2025

Study Registration Dates

First Submitted

March 19, 2025

First Submitted That Met QC Criteria

April 1, 2025

First Posted (Actual)

April 3, 2025

Study Record Updates

Last Update Posted (Actual)

April 3, 2025

Last Update Submitted That Met QC Criteria

April 1, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • EMRALab_001

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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