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

April 26, 2025 updated by: Ain Shams University

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:

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

Study Overview

Status

Active, not recruiting

Conditions

Study Type

Observational

Enrollment (Actual)

275

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Egypt
      • Cairo, Egypt
        • Ain Shams University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Probability Sample

Study Population

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

Description

Inclusion Criteria:

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

Exclusion Criteria:

  • Any undergraduate dental student

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Assessment of knowledge about AI applications in periodontology
Time Frame: 1 year

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).
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Ain Shams University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General 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

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 1, 2023

Primary Completion (Actual)

September 1, 2024

Study Completion (Estimated)

September 1, 2025

Study Registration Dates

First Submitted

April 4, 2025

First Submitted That Met QC Criteria

April 26, 2025

First Posted (Actual)

April 30, 2025

Study Record Updates

Last Update Posted (Actual)

April 30, 2025

Last Update Submitted That Met QC Criteria

April 26, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • FDASU-RECIM012404

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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