Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-24 @ 7:45 PM
Ignite Modification Date:
2025-12-24 @ 7:45 PM
NCT ID:
NCT06908603
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.
Study:
NCT06908603
Study Brief:
Protocol Section:
NCT06908603