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AzTrials

AI (Artificial Intelligence)NCT06951152

Knowledge, Perception, Usage And Concerns Of Artificial Intelligence Applications In Periodontology

An observational study of AI (Artificial Intelligence), run by Ain Shams University at 1 site in Egypt.

Active, not recruiting

Under way, not looking for participants. Everyone needed has enrolled. The study is still running.

Official record
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Trial summary

Statement of problem: knowledge gap about knowledge, perception ,usage and concerns of artificial intelligence applications in periodontology among periodontists. Aim of the study: To investigate ' periodontists' knowledge, perception , usage and concerns towards AI systems' applications in periodontology. Read more about this study

Who is it for?
Any ageHealthy volunteers can take part
Conditions the study is for
AI (Artificial Intelligence)
How many people
275 participants
Where
1 siteEgypt
Study dates
1 Sep 2023to 1 Sep 2025
Phase
Observational
Are there results?
Not yet: the study is under way

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
  • Healthy volunteers accepted
  • Child, Adult, Older adult

Study population: The study will be conducted on post graduate periodontists either master or PhD holder.

Who may be able to join

  • All participants should be post-graduate periodontists.
  • Periodontists at Egypt

Who cannot join

  • Any undergraduate dental student

Trial locations and contacts

1 site in 1 country.

Egypt1 site

  • Ain Shams University

    Cairo

Other trials in Egypt

About this study

Official title: Knowledge, Perception, Usage And Concerns Of Artificial Intelligence Applications In Periodontology : Cross-Sectional Study Among Periodontists In Egypt

Statement of problem: knowledge gap about knowledge, perception ,usage and concerns of artificial intelligence applications in periodontology among periodontists.

Aim of the study:

Read more

To investigate ' periodontists' knowledge, perception , usage and concerns towards AI systems' applications in periodontology.

Materials and Methods This will be done by a self-administered, 33-item questionnaire . The questionnaire is divided into five sections.The first section, known as Part A, focus on five open-ended questions on sociodemographic characteristics, where participants enter their age, gender, academic affiliation. Part B consists of closed-ended questions, identifying the basic knowledge of the periodontists participating in AI using a Likert three-point scale (yes / no / maybe) . Part C consists of questions assessing the perception of periodontists towards the use of AI using a Likert three-point scale (yes / no / maybe). Part D consists of questions focusing on the usage of AI applications . part E consists of questions assessing concerns of AI applications in periodontology using a Likert three-point scale (yes / no / maybe) .

This study will be conducted in accordance with the code of ethics of the research ethics committee at the faculty of dentistry, at Ain Shams University. This survey aims to assess the knowledge, perception , usage and concerns of AI applications among periodontists.

The questionnaire will be distributed to periodontologists in the faculty of dentistry at Ain Shams University. Participants will be voluntary and anonymous. The questionnaire consists of five parts and the average time to complete the questionnaire is 10-12 min

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Assessment of knowledge about AI applications in periodontology

    Assessment of knowledge about AI applications in periodontology, Data obtained from the questionnaires will be entered into an Excel spreadsheet to serve as a database. The acquired data will be subjected to statistical analysis using the SPSS software version 23 (SPSS for Windows, Chicago, USA). The Shapiro-Wilk test will be used to assess the data.

    questionnaire comprised five sections with 33 questions. The knowledge-assessing questions known as the second section, consisted of six closed-ended questions, identifying the basic knowledge of the periodontists participating in AI using a Likert three-point scale (yes/no/maybe).

    Measured: 1 year

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted30 Apr 2025
  2. Study start1 Sep 2023
  3. Primary completion1 Sep 2024
  4. Study completion1 Sep 2025 (estimated)

Resources

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
275 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06951152
Sponsor's protocol ID
FDASU-RECIM012404
Status last verified
Mar 2025
First submitted
4 Apr 2025
Last updated
30 Apr 2025
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No

Publications

  • Amato F., López A., Peña-Méndez E.M., Vaňhara P., Hampl A., Havel J. Artificial Neural Networks in Medical Diagnosis. J. Appl. Biomed. 2013;11:47-58. doi: 10.2478/v10136-012-0031-x. - DOI Ayad N, Schwendicke F, Krois J, van den Bosch S, Bergé S, Bohner L, Hanisch M, Vinayahalingam S. Patients' perspectives on the use of artificial intelligence in dentistry: a regional survey. Head Face Med. 2023 Jun 22;19(1):23. doi: 10.1186/s13005-023-00368-z. PMID: 37349791; PMCID: PMC10288769. Bennett, C.C.; Hauser, K. Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach. Artif. Intell. Med. 2013, 57, 9-19. Briganti, G.; Le Moine, O. Artificial Intelligence in Medicine: Today and Tomorrow. Front. Med. 2020, 7, 27 Cervino, G.; Cicciu, M.; Fiorillo, L.; Finocchio, G. Clinical Applications of the Algorithm "Pipeline Advanced Contrast Enhancement (Pace)" in Dental Radiology. Eng. Proc. 2023, 31, 10 Davenport T, Kalakota R: The potential for artificial intelligence in healthcare. Future Healthc J. 2019, 6:94-. 10.7861/futurehosp.6-2-94 Jiang F, Jiang Y, Zhi H, et al.: Artificial intelligence in healthcare: past, present and future. Stroke VascNeurol. 2017, 2:230-43. 10.1136/svn-2017-000101 Kansal R, Bawa A, Bansal A, Trehan S, Goyal K, Goyal N, Malhotra K. Differences in Knowledge and Perspectives on the Usage of Artificial Intelligence Among Doctors and Medical Students of a Developing Country: A Cross-Sectional Study. Cureus. 2022 Jan 19;14(1):e21434. doi: 10.7759/cureus.21434. PMID: 35223222; PMCID: PMC8860704. Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D: Key challenges for delivering clinical impact with artificial intelligence. BMC Med. 2019, 17:195. 10.1186/ Kolachalama VB, Garg PS: Machine learning and medical education. NPJ Digit Med. 2018, 1:54.10.1038/s41746-018-0061-1 Kooli, C. Chatbots in Education and Research: A Critical Examination of Ethical Implications and Solutions. Sustainability 2023,15, 5614

Questions about this trial

What is this clinical trial studying?

An observational study of AI (Artificial Intelligence), run by Ain Shams 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 2 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: under way, not looking for participants, as of the sponsor's last update on 30 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?

This study is still under way. Results are not available in the source record yet.

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 knowledge about AI applications in periodontology (time frame: 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 NCT06951152, which also lists 1 linked publication.

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 30 Apr 2025.

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