Knowledge of AI Applications in Dental ImagingNCT06908603
Use of Artificial Intelligence in Oral Radiology: A Multicenter Cross-Sectional Study in Egypt
An observational study of Knowledge of AI Applications in Dental Imaging, run by Cairo University at 1 site in Egypt.
Trial 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. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Knowledge of AI Applications in Dental Imaging
- What is being tested?
- Survey using a questionnaire.
- How many people
- 1,326 participants
- Where
- 1 siteEgypt
- Study dates
- 13 Mar 2024to 29 Jan 2025
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Child, Adult, Older adult
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.
Who may be able to join
- graduated dentists with a bachelor's or higher degree from Egyptian universities who practiced in Egypt.
Who cannot join
- Undergraduate students and dentists who obtained their undergraduate qualification abroad or practiced outside Egypt were excluded.
Trial locations and contacts
1 site in 1 country.
About this study
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.
Read the 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.
- Being tested
- Survey using a questionnaire.
- Keywords
- AI, AI knowledge, AI perception, dentistry, oral radiology
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
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.
What is being measured
The primary outcome is the main question the study is designed to answer.
Assessment of the reported level of knowledge of AI applications in dental imaging using a standardized questionnaire
Measured: through study completion, an average of 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Apr 2025
- Study start13 Mar 2024
- Primary completion31 Aug 2024
- Study completion29 Jan 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (2)Papers the sponsor has linked to this study.
- Other trials for Knowledge of AI Applications in Dental ImagingStudies of the same condition, open and under way.
- More trials run by Cairo UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Cross-sectional
- Enrolment
- 1,326 participants (actual)
Sponsor and investigators
- Lead sponsor
- Cairo University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Nora Saif Taha, Cairo University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06908603
- Sponsor's protocol ID
- EMRALab_001
- Status last verified
- Apr 2025
- First submitted
- 19 Mar 2025
- Last updated
- 3 Apr 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
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.
PubMed 36013526Saif N, Elkoumi A, Shaalan AK. Use of artificial intelligence in oral radiology: a multicenter cross-sectional study in Egypt. BMC Oral Health. 2025 Nov 25;25(1):1888. doi: 10.1186/s12903-025-07269-4.
PubMed 41291711
Study at a glance
From the registry record, last updated by the sponsor on 3 Apr 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Use of Artificial Intelligence in Oral Radiology: A Multicenter Cross-Sectional Study in Egypt
- ClinicalTrials.gov ID
- NCT06908603
- Acronym / sponsor ID
- EMRALab_001
- Keywords
- AI, AI knowledge, AI perception, dentistry, oral radiology
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 1,326 participants (actual)
- Lead sponsor
- Cairo UniversityUniversity, hospital or other
- Study start
- 13 Mar 2024 (actual)
- Primary completion
- 31 Aug 2024 (actual)
- Study completion
- 29 Jan 2025 (actual)
- First posted
- 3 Apr 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Other
- Time perspective
- Cross-sectional
Who may qualify
- Sex
- All
- Age groups
- Child, Adult, Older adult
- 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.
Key inclusion criteria (1 listed)
- graduated dentists with a bachelor's or higher degree from Egyptian universities who practiced in Egypt.
Key exclusion criteria (1 listed)
- Undergraduate students and dentists who obtained their undergraduate qualification abroad or practiced outside Egypt were excluded.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| 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. | Other | – |
Primary outcome
Assessment of the reported level of knowledge of AI applications in dental imaging using a standardized questionnaire
Time frame: through study completion, an average of 1 year
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Apr 2025.
- Results publication: PubMed 36013526Eschert 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.
- Derived from this study: PubMed 41291711Saif N, Elkoumi A, Shaalan AK. Use of artificial intelligence in oral radiology: a multicenter cross-sectional study in Egypt. BMC Oral Health. 2025 Nov 25;25(1):1888. doi: 10.1186/s12903-025-07269-4.
- Individual participant dataSharing planned: Undecided
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Knowledge of AI Applications in Dental Imaging, run by Cairo University at 1 site in Egypt.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 3 Apr 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Egypt. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Assessment of the reported level of knowledge of AI applications in dental imaging using a standardized questionnaire (time frame: through study completion, an average of 1 year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06908603, which also lists 2 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Apr 2025.