Knowledge of AI Applications in Dental Imaging
Conditions
Keywords
AI, AI knowledge, AI perception, dentistry, oral radiology
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.
Interventions
OTHERSurvey 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.
Sponsors
Cairo University
Study design
Observational model
OTHER
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
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.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 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 |
Countries
Egypt
Outcome results
None listed