MedPath

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

Completed
Conditions
Knowledge of AI Applications in Dental Imaging
Registration Number
NCT06908603
Lead Sponsor
Cairo University
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.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
1326
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 & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Assessment of the reported level of knowledge of AI applications in dental imaging using a standardized questionnairethrough study completion, an average of 1 year
Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Faculty of Dentistry, Cairo University

🇪🇬

Cairo, Egypt

© Copyright 2025. All Rights Reserved by MedPath