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

NCT ID: NCT06908603

Last Updated: 2025-04-03

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 1326 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2024-03-13
• Study Completion Date: 2025-01-29

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.

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.

Conditions

Knowledge of AI Applications in Dental Imaging

Study Design

• Observational Model Type: OTHER
• Study Time Perspective: CROSS_SECTIONAL

Interventions

Survey using a questionnaire.

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.

Intervention Type: OTHER

Eligibility Criteria

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.

• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Cairo University

OTHER

Sponsor Role: lead

Responsible Party

Nora Saif Taha

Associate Professor, Oral & Maxillofacial Radiology, Faculty of Dentistry, Cairo University

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Faculty of Dentistry, Cairo University

Cairo, , Egypt

Countries

Egypt

References

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.

Reference Type: BACKGROUND

PMID: 36013526 (View on PubMed)

Other Identifiers

EMRALab_001

Identifier Type: -

Identifier Source: org_study_id