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

NCT06908603 | Completed

• 1 other identifier: EMRALab_001
• Study Type: observational
• Target: 1,326
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Knowledge of AI Applications in Dental Imaging

Keywords

AI; AI knowledge; AI perception; dentistry; oral radiology

Outcome Measures

Primary Outcomes (1)

• Assessment of the reported level of knowledge of AI applications in dental imaging using a standardized questionnaire

  through study completion, an average of 1 year

Interventions

Survey using a questionnaire. OTHER

The online, self-administered, 16-item questionnaire included several question styles (yes/no questions, closed-ended, multiple choice questions, and statements with Likert scale responses). The questionnaire was adapted from several published AI surveys . Questions were designed to assess three primary areas: AI knowledge, perceptions of AI integration into practice and challenges in implementing AI in the OR practice in Egypt.

Eligibility Criteria

• Sex: all
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• 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.

You may qualify if:

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

You may not qualify if:

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

Sponsors & Collaborators

• Cairo University: lead

Study Sites (1)

Faculty of Dentistry, Cairo University

Cairo, Egypt

Location

Related Publications (1)

• Eschert T, Schwendicke F, Krois J, Bohner L, Vinayahalingam S, Hanisch M. A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery. Medicina (Kaunas). 2022 Aug 5;58(8):1059. doi: 10.3390/medicina58081059.

  PMID: 36013526 BACKGROUND

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor, Oral & Maxillofacial Radiology, Faculty of Dentistry, Cairo University

Study Record Dates

• First Submitted: March 19, 2025
• First Posted: April 3, 2025
• Study Start: March 13, 2024
• Primary Completion: August 31, 2024
• Study Completion: January 29, 2025
• Last Updated: April 3, 2025

Record last verified: 2025-04

Locations

EG (1)